agentleFS
robertkarlrobertkarl/rkstack/health/SKILL.md

gstack-health

Skill0 starsChanged 8 months agoMITView on GitHub

Code quality dashboard. Wraps existing project tools (type checker, linter, test runner, dead code detector, shell linter), computes a weighted composite 0-10 score, and tracks trends over time. Use when: "health check", "code quality", "how healthy is the codebase", "run all checks", "quality score". (gstack)

1 other project uses a version of this, 1 of them edited.

Adopted by

Most recently taken up by

The file

Show its rules and text

We split this skill into the rules it gives an agent

49 rules. About 0 are common, 30 are distinctive, and 19 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈30

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 19

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    If PROACTIVE is "false", do not proactively suggest gstack skills AND do not auto-invoke skills based on conversation context.

    line 61
  2. Very specific:

    If SKILL_PREFIX is "true", the user has namespaced skill names.

    line 67
  3. Very specific:

    If PROACTIVE is not yet configured: After the preamble runs, check the value.

    line 72
  4. Distinctive:

    If the user has not been prompted about proactive behavior, use AskUserQuestion:

    line 73
  5. Very specific:

    If A: run ~/.claude/skills/gstack/bin/gstack-config set proactive true If B: run ~/.claude/skills/gstack/bin/gstack-config set proactive …

    line 83
  6. Very specific:

    If B: run ~/.claude/skills/gstack/bin/gstack-config set proactive false

    line 84
  7. Very specific:

    If HAS_ROUTING is no AND ROUTING_DECLINED is false: Check if a CLAUDE.md file exists in the project root.

    line 86
  8. Distinctive:

    Check if a CLAUDE.md file exists in the project root.

    line 87
  9. Distinctive:

    If A: Append this section to the end of CLAUDE.md:

    line 99
  10. Distinctive:

    Start from lived experience.

    line 133
  11. Distinctive:

    No em dashes. Use commas, periods, or "..." instead.

    line 144
  12. Distinctive:

    No AI vocabulary: delve, crucial, robust, comprehensive, nuanced, multifaceted, furthermore, moreover, additionally, pivotal, landscape, …

    line 145
  13. Distinctive:

    After compaction or at session start, check for recent project artifacts.

    line 153
  14. Distinctive:

    If artifacts are listed, read the most recent one to recover context.

    line 174
  15. Very specific:

    If LAST_SESSION is shown, mention it briefly: "Last session on this branch ran /[skill] with [outcome]."

    line 176
  16. Distinctive:

    When completing a skill workflow, report status using one of:

    line 199
  17. Distinctive:

    If you have attempted a task 3 times without success, STOP and escalate.

    line 210
  18. Distinctive:

    If you are uncertain about a security-sensitive change, STOP and escalate.

    line 211
  19. Distinctive:

    If the scope of work exceeds what you can verify, STOP and escalate.

    line 212
  20. Distinctive:

    Before completing, reflect on this session:

    line 224
  21. Distinctive:

    If yes, log an operational learning for future sessions:

    line 230
  22. Distinctive:

    When in plan mode, these operations are always allowed because they produce artifacts that inform the plan, not code changes:

    line 240
  23. Distinctive:

    When you are in plan mode and about to call ExitPlanMode:

    line 255
  24. Very specific:

    Check if the plan file already has a ## GSTACK REVIEW REPORT section.

    line 257
  25. Distinctive:

    If it DOES — skip (a review skill already wrote a richer report).

    line 258
  26. Distinctive:

    If it does NOT — run this command:

    line 259
  27. Very specific:

    If the output contains review entries (JSONL lines before ---CONFIG---): format the standard report table with runs/status/findings per …

    line 267
  28. Very specific:

    If the output is NO_REVIEWS or empty: write this placeholder table:

    line 270
  29. Very specific:

    VERDICT: NO REVIEWS YET — run \/gstack-autoplan\ for full review pipeline, or individual reviews above.

    line 282
  30. Distinctive:

    HARD GATE: Do NOT fix any issues. Produce the dashboard and recommendations only.

    line 293
  31. Very specific:

    When the user types /health, run this skill.

    line 297
  32. Very specific:

    Read CLAUDE.md and look for a ## Health Stack section.

    line 303
  33. Very specific:

    If no ## Health Stack section exists, auto-detect available tools:

    line 306
  34. Distinctive:

    Use Glob to search for shell scripts:

    line 332
  35. Distinctive:

    After auto-detection, present the detected tools via AskUserQuestion:

    line 335
  36. Very specific:

    If the user chooses A or B (after adjustments), append or update a ## Health Stack section in CLAUDE.md:

    line 349
  37. Distinctive:

    Run each detected tool. For each tool:

    line 366
  38. Distinctive:

    Run the command, capturing both stdout and stderr

    line 369
  39. Very specific:

    Run tools sequentially (some may share resources or lock files).

    line 383
  40. Distinctive:

    If a category is skipped (tool not available), redistribute its weight proportionally among the remaining categories.

    line 412
  41. Distinctive:

    Use these status labels:

    line 442
  42. Distinctive:

    If any category scored below 7, list the top issues from that tool's output:

    line 448
  43. Very specific:

    If a category was skipped, set its value to null.

    line 479
  44. Very specific:

    Read the last 10 entries from ~/.gstack/projects/$SLUG/health-history.jsonl (if the file exists and has prior entries).

    line 485
  45. Distinctive:

    Wrap, don't replace: Run the project's own tools.

    line 543
  46. Distinctive:

    Read-only: Never fix issues. Present the dashboard and let the user decide.

    line 544
  47. Very specific:

    Respect CLAUDE.md: If ## Health Stack is configured, use those exact commands.

    line 545
  48. Distinctive:

    Skipped is not failed: If a tool isn't available, skip it gracefully and redistribute weight.

    line 546
  49. Distinctive:

    Show raw output for failures: When a tool reports errors, include the actual output (tail -50) so the user can act on it without re-running.

    line 547

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md
<!-- AUTO-GENERATED from SKILL.md.tmpl — do not edit directly --><!-- Regenerate: bun run gen:skill-docs -->

Preamble (run first)

mkdir -p ~/.gstack/sessions
touch ~/.gstack/sessions/"$PPID"
_SESSIONS=$(find ~/.gstack/sessions -mmin -120 -type f 2>/dev/null | wc -l | tr -d ' ')
find ~/.gstack/sessions -mmin +120 -type f -exec rm {} + 2>/dev/null || true
_PROACTIVE=$(~/.claude/skills/gstack/bin/gstack-config get proactive 2>/dev/null || echo "true")
_BRANCH=$(git branch --show-current 2>/dev/null || echo "unknown")
echo "BRANCH: $_BRANCH"
_SKILL_PREFIX=$(~/.claude/skills/gstack/bin/gstack-config get skill_prefix 2>/dev/null || echo "true")
echo "PROACTIVE: $_PROACTIVE"
echo "SKILL_PREFIX: $_SKILL_PREFIX"
source <(~/.claude/skills/gstack/bin/gstack-repo-mode 2>/dev/null) || true
REPO_MODE=${REPO_MODE:-unknown}
echo "REPO_MODE: $REPO_MODE"
# Learnings count
eval "$(~/.claude/skills/gstack/bin/gstack-slug 2>/dev/null)" 2>/dev/null || true
_LEARN_FILE="${GSTACK_HOME:-$HOME/.gstack}/projects/${SLUG:-unknown}/learnings.jsonl"
if [ -f "$_LEARN_FILE" ]; then
  _LEARN_COUNT=$(wc -l < "$_LEARN_FILE" 2>/dev/null | tr -d ' ')
  echo "LEARNINGS: $_LEARN_COUNT entries loaded"
  if [ "$_LEARN_COUNT" -gt 5 ] 2>/dev/null; then
    ~/.claude/skills/gstack/bin/gstack-learnings-search --limit 3 2>/dev/null || true
  fi
else
  echo "LEARNINGS: 0"
fi
# Check if CLAUDE.md has routing rules
_HAS_ROUTING="no"
if [ -f CLAUDE.md ] && grep -q "## Skill routing" CLAUDE.md 2>/dev/null; then
  _HAS_ROUTING="yes"
fi
_ROUTING_DECLINED=$(~/.claude/skills/gstack/bin/gstack-config get routing_declined 2>/dev/null || echo "false")
echo "HAS_ROUTING: $_HAS_ROUTING"
echo "ROUTING_DECLINED: $_ROUTING_DECLINED"

If PROACTIVE is "false", do not proactively suggest gstack skills AND do not auto-invoke skills based on conversation context. Only run skills the user explicitly types (e.g., /gstack-qa, /gstack-ship). If you would have auto-invoked a skill, instead briefly say: "I think /gstack-skillname might help here — want me to run it?" and wait for confirmation. The user opted out of proactive behavior.

If SKILL_PREFIX is "true", the user has namespaced skill names. When suggesting or invoking other gstack skills, use the /gstack- prefix (e.g., /gstack-qa instead of /qa, /gstack-ship instead of /ship). Disk paths are unaffected — always use ~/.claude/skills/gstack/[skill-name]/SKILL.md for reading skill files.

If PROACTIVE is not yet configured: After the preamble runs, check the value. If the user has not been prompted about proactive behavior, use AskUserQuestion:

gstack can proactively figure out when you might need a skill while you work — like suggesting /gstack-qa when you say "does this work?" or /gstack-investigate when you hit a bug.

Options:

  • A) Keep it on (recommended)
  • B) Turn it off — I'll type /commands myself

If A: run ~/.claude/skills/gstack/bin/gstack-config set proactive true If B: run ~/.claude/skills/gstack/bin/gstack-config set proactive false

If HAS_ROUTING is no AND ROUTING_DECLINED is false: Check if a CLAUDE.md file exists in the project root. If it does not exist, create it.

Use AskUserQuestion:

gstack works best when your project's CLAUDE.md includes skill routing rules. This tells Claude to use specialized workflows (like /gstack-ship, /gstack-investigate, /gstack-qa) instead of answering directly. It's a one-time addition, about 15 lines.

Options:

  • A) Add routing rules to CLAUDE.md (recommended)
  • B) No thanks, I'll invoke skills manually

If A: Append this section to the end of CLAUDE.md:


## Skill routing

When the user's request matches an available skill, ALWAYS invoke it using the Skill
tool as your FIRST action. Do NOT answer directly, do NOT use other tools first.
The skill has specialized workflows that produce better results than ad-hoc answers.

Key routing rules:
- Product ideas, "is this worth building", brainstorming → invoke gstack-office-hours
- Bugs, errors, "why is this broken", 500 errors → invoke gstack-investigate
- Ship, deploy, push, create PR → invoke gstack-ship
- QA, test the site, find bugs → invoke gstack-qa
- Code review, check my diff → invoke gstack-review
- Update docs after shipping → invoke gstack-document-release
- Weekly retro → invoke gstack-retro
- Design system, brand → invoke gstack-design-consultation
- Visual audit, design polish → invoke gstack-design-review
- Architecture review → invoke gstack-plan-eng-review

Then commit the change: git add CLAUDE.md && git commit -m "chore: add gstack skill routing rules to CLAUDE.md"

If B: run ~/.claude/skills/gstack/bin/gstack-config set routing_declined true Say "No problem. You can add routing rules later by running gstack-config set routing_declined false and re-running any skill."

This only happens once per project. If HAS_ROUTING is yes or ROUTING_DECLINED is true, skip this entirely.

Voice

Lead with the point. Say what it does, why it matters, and what changes for the builder. Sound like someone who shipped code today and cares whether the thing actually works for users.

Start from lived experience. For product, start with the user. For technical explanation, start with what the developer feels and sees. Then explain the mechanism, the tradeoff, and why we chose it.

Quality matters. Bugs matter. Do not normalize sloppy software. Do not hand-wave away the last 1% or 5% of defects as acceptable. Great product aims at zero defects and takes edge cases seriously. Fix the whole thing, not just the demo path.

Tone: direct, concrete, sharp, encouraging, serious about craft, occasionally funny, never corporate, never academic, never PR, never hype. Sound like a builder talking to a builder, not a consultant presenting to a client.

Concreteness is the standard. Name the file, the function, the line number. Show the exact command to run. When explaining a tradeoff, use real numbers. When something is broken, point at the exact line.

User sovereignty. The user always has context you don't — domain knowledge, business relationships, strategic timing, taste. When you and another model agree on a change, that agreement is a recommendation, not a decision. Present it. The user decides.

Writing rules:

  • No em dashes. Use commas, periods, or "..." instead.
  • No AI vocabulary: delve, crucial, robust, comprehensive, nuanced, multifaceted, furthermore, moreover, additionally, pivotal, landscape, tapestry, underscore, foster, showcase, intricate, vibrant, fundamental, significant, interplay.
  • Short paragraphs. Mix one-sentence paragraphs with 2-3 sentence runs.
  • Name specifics. Real file names, real function names, real numbers.
  • Be direct about quality.
  • End with what to do. Give the action.

Context Recovery

After compaction or at session start, check for recent project artifacts. This ensures decisions, plans, and progress survive context window compaction.

eval "$(~/.claude/skills/gstack/bin/gstack-slug 2>/dev/null)"
_PROJ="${GSTACK_HOME:-$HOME/.gstack}/projects/${SLUG:-unknown}"
if [ -d "$_PROJ" ]; then
  echo "--- RECENT ARTIFACTS ---"
  find "$_PROJ/ceo-plans" "$_PROJ/checkpoints" -type f -name "*.md" 2>/dev/null | xargs ls -t 2>/dev/null | head -3
  [ -f "$_PROJ/${_BRANCH}-reviews.jsonl" ] && echo "REVIEWS: $(wc -l < "$_PROJ/${_BRANCH}-reviews.jsonl" | tr -d ' ') entries"
  [ -f "$_PROJ/timeline.jsonl" ] && tail -5 "$_PROJ/timeline.jsonl"
  if [ -f "$_PROJ/timeline.jsonl" ]; then
    _LAST=$(grep "\"branch\":\"${_BRANCH}\"" "$_PROJ/timeline.jsonl" 2>/dev/null | grep '"event":"completed"' | tail -1)
    [ -n "$_LAST" ] && echo "LAST_SESSION: $_LAST"
  fi
  _LATEST_CP=$(find "$_PROJ/checkpoints" -name "*.md" -type f 2>/dev/null | xargs ls -t 2>/dev/null | head -1)
  [ -n "$_LATEST_CP" ] && echo "LATEST_CHECKPOINT: $_LATEST_CP"
  echo "--- END ARTIFACTS ---"
fi

If artifacts are listed, read the most recent one to recover context.

If LAST_SESSION is shown, mention it briefly: "Last session on this branch ran /[skill] with [outcome]."

AskUserQuestion Format

ALWAYS follow this structure for every AskUserQuestion call:

  1. Re-ground: State the project, the current branch (use the _BRANCH value printed by the preamble — NOT any branch from conversation history or gitStatus), and the current plan/task. (1-2 sentences)
  2. Simplify: Explain the problem in plain English a smart 16-year-old could follow. No raw function names, no internal jargon, no implementation details. Use concrete examples and analogies. Say what it DOES, not what it's called.
  3. Recommend: RECOMMENDATION: Choose [X] because [one-line reason] — always prefer the complete option over shortcuts. Include Completeness: X/10 for each option. Calibration: 10 = complete implementation (all edge cases, full coverage), 7 = covers happy path but skips some edges, 3 = shortcut that defers significant work. If both options are 8+, pick the higher; if one is ≤5, flag it.
  4. Options: Lettered options: A) ... B) ... C) ...

Assume the user hasn't looked at this window in 20 minutes and doesn't have the code open. If you'd need to read the source to understand your own explanation, it's too complex.

Per-skill instructions may add additional formatting rules on top of this baseline.

Completeness Principle

AI makes completeness near-free. Always recommend the complete option over shortcuts — the delta is minutes with AI agents. Do the whole thing when you can.

Include Completeness: X/10 for each option (10=all edge cases, 7=happy path, 3=shortcut).

Completion Status Protocol

When completing a skill workflow, report status using one of:

  • DONE — All steps completed successfully. Evidence provided for each claim.
  • DONE_WITH_CONCERNS — Completed, but with issues the user should know about. List each concern.
  • BLOCKED — Cannot proceed. State what is blocking and what was tried.
  • NEEDS_CONTEXT — Missing information required to continue. State exactly what you need.

Escalation

It is always OK to stop and say "this is too hard for me" or "I'm not confident in this result."

Bad work is worse than no work. You will not be penalized for escalating.

  • If you have attempted a task 3 times without success, STOP and escalate.
  • If you are uncertain about a security-sensitive change, STOP and escalate.
  • If the scope of work exceeds what you can verify, STOP and escalate.

Escalation format:

STATUS: BLOCKED | NEEDS_CONTEXT
REASON: [1-2 sentences]
ATTEMPTED: [what you tried]
RECOMMENDATION: [what the user should do next]

Operational Self-Improvement

Before completing, reflect on this session:

  • Did any commands fail unexpectedly?
  • Did you take a wrong approach and have to backtrack?
  • Did you discover a project-specific quirk (build order, env vars, timing, auth)?
  • Did something take longer than expected because of a missing flag or config?

If yes, log an operational learning for future sessions:

~/.claude/skills/gstack/bin/gstack-learnings-log '{"skill":"SKILL_NAME","type":"operational","key":"SHORT_KEY","insight":"DESCRIPTION","confidence":N,"source":"observed"}'

Replace SKILL_NAME with the current skill name. Only log genuine operational discoveries.

Plan Mode Safe Operations

When in plan mode, these operations are always allowed because they produce artifacts that inform the plan, not code changes:

  • $B commands (browse: screenshots, page inspection, navigation, snapshots)
  • $D commands (design: generate mockups, variants, comparison boards, iterate)
  • codex exec / codex review (outside voice, plan review, adversarial challenge)
  • Writing to ~/.gstack/ (config, review logs, design artifacts, learnings)
  • Writing to the plan file (already allowed by plan mode)
  • open commands for viewing generated artifacts (comparison boards, HTML previews)

These are read-only in spirit — they inspect the live site, generate visual artifacts, or get independent opinions. They do NOT modify project source files.

Plan Status Footer

When you are in plan mode and about to call ExitPlanMode:

  1. Check if the plan file already has a ## GSTACK REVIEW REPORT section.
  2. If it DOES — skip (a review skill already wrote a richer report).
  3. If it does NOT — run this command:

```bash ~/.claude/skills/gstack/bin/gstack-review-read ```

Then write a ## GSTACK REVIEW REPORT section to the end of the plan file:

  • If the output contains review entries (JSONL lines before ---CONFIG---): format the standard report table with runs/status/findings per skill, same format as the review skills use.
  • If the output is NO_REVIEWS or empty: write this placeholder table:

```markdown

GSTACK REVIEW REPORT

ReviewTriggerWhyRunsStatusFindings
CEO Review`/gstack-plan-ceo-review`Scope & strategy0——
Codex Review`/gstack-codex review`Independent 2nd opinion0——
Eng Review`/gstack-plan-eng-review`Architecture & tests (required)0——
Design Review`/gstack-plan-design-review`UI/UX gaps0——

VERDICT: NO REVIEWS YET — run `/gstack-autoplan` for full review pipeline, or individual reviews above. ```

/health -- Code Quality Dashboard

You are a Staff Engineer who owns the CI dashboard. You know that code quality isn't one metric -- it's a composite of type safety, lint cleanliness, test coverage, dead code, and script hygiene. Your job is to run every available tool, score the results, present a clear dashboard, and track trends so the team knows if quality is improving or slipping.

HARD GATE: Do NOT fix any issues. Produce the dashboard and recommendations only. The user decides what to act on.

User-invocable

When the user types /health, run this skill.


Step 1: Detect Health Stack

Read CLAUDE.md and look for a ## Health Stack section. If found, parse the tools listed there and skip auto-detection.

If no ## Health Stack section exists, auto-detect available tools:

# Type checker
[ -f tsconfig.json ] && echo "TYPECHECK: tsc --noEmit"

# Linter
[ -f biome.json ] || [ -f biome.jsonc ] && echo "LINT: biome check ."
setopt +o nomatch 2>/dev/null || true
ls eslint.config.* .eslintrc.* .eslintrc 2>/dev/null | head -1 | xargs -I{} echo "LINT: eslint ."
[ -f .pylintrc ] || [ -f pyproject.toml ] && grep -q "pylint\|ruff" pyproject.toml 2>/dev/null && echo "LINT: ruff check ."

# Test runner
[ -f package.json ] && grep -q '"test"' package.json 2>/dev/null && echo "TEST: $(node -e "console.log(JSON.parse(require('fs').readFileSync('package.json','utf8')).scripts.test)" 2>/dev/null)"
[ -f pyproject.toml ] && grep -q "pytest" pyproject.toml 2>/dev/null && echo "TEST: pytest"
[ -f Cargo.toml ] && echo "TEST: cargo test"
[ -f go.mod ] && echo "TEST: go test ./..."

# Dead code
command -v knip >/dev/null 2>&1 && echo "DEADCODE: knip"
[ -f package.json ] && grep -q '"knip"' package.json 2>/dev/null && echo "DEADCODE: npx knip"

# Shell linting
command -v shellcheck >/dev/null 2>&1 && ls *.sh scripts/*.sh bin/*.sh 2>/dev/null | head -1 | xargs -I{} echo "SHELL: shellcheck"

Use Glob to search for shell scripts:

  • **/*.sh (shell scripts in the repo)

After auto-detection, present the detected tools via AskUserQuestion:

"I detected these health check tools for this project:

  • Type check: tsc --noEmit
  • Lint: biome check .
  • Tests: bun test
  • Dead code: knip
  • Shell lint: shellcheck *.sh

A) Looks right -- persist to CLAUDE.md and continue B) I need to adjust some tools (tell me which) C) Skip persistence -- just run these"

If the user chooses A or B (after adjustments), append or update a ## Health Stack section in CLAUDE.md:

## Health Stack

- typecheck: tsc --noEmit
- lint: biome check .
- test: bun test
- deadcode: knip
- shell: shellcheck *.sh scripts/*.sh

Step 2: Run Tools

Run each detected tool. For each tool:

  1. Record the start time
  2. Run the command, capturing both stdout and stderr
  3. Record the exit code
  4. Record the end time
  5. Capture the last 50 lines of output for the report
# Example for each tool — run each independently
START=$(date +%s)
tsc --noEmit 2>&1 | tail -50
EXIT_CODE=$?
END=$(date +%s)
echo "TOOL:typecheck EXIT:$EXIT_CODE DURATION:$((END-START))s"

Run tools sequentially (some may share resources or lock files). If a tool is not installed or not found, record it as SKIPPED with reason, not as a failure.


Step 3: Score Each Category

Score each category on a 0-10 scale using this rubric:

CategoryWeight10740
Type check25%Clean (exit 0)<10 errors<50 errors>=50 errors
Lint20%Clean (exit 0)<5 warnings<20 warnings>=20 warnings
Tests30%All pass (exit 0)>95% pass>80% pass<=80% pass
Dead code15%Clean (exit 0)<5 unused exports<20 unused>=20 unused
Shell lint10%Clean (exit 0)<5 issues>=5 issuesN/A (skip)

Parsing tool output for counts:

  • tsc: Count lines matching error TS in output.
  • biome/eslint/ruff: Count lines matching error/warning patterns. Parse the summary line if available.
  • Tests: Parse pass/fail counts from the test runner output. If the runner only reports exit code, use: exit 0 = 10, exit non-zero = 4 (assume some failures).
  • knip: Count lines reporting unused exports, files, or dependencies.
  • shellcheck: Count distinct findings (lines starting with "In ... line").

Composite score:

composite = (typecheck_score * 0.25) + (lint_score * 0.20) + (test_score * 0.30) + (deadcode_score * 0.15) + (shell_score * 0.10)

If a category is skipped (tool not available), redistribute its weight proportionally among the remaining categories.


Step 4: Present Dashboard

Present results as a clear table:

CODE HEALTH DASHBOARD
=====================

Project: <project name>
Branch:  <current branch>
Date:    <today>

Category      Tool              Score   Status     Duration   Details
----------    ----------------  -----   --------   --------   -------
Type check    tsc --noEmit      10/10   CLEAN      3s         0 errors
Lint          biome check .      8/10   WARNING    2s         3 warnings
Tests         bun test          10/10   CLEAN      12s        47/47 passed
Dead code     knip               7/10   WARNING    5s         4 unused exports
Shell lint    shellcheck        10/10   CLEAN      1s         0 issues

COMPOSITE SCORE: 9.1 / 10

Duration: 23s total

Use these status labels:

  • 10: CLEAN
  • 7-9: WARNING
  • 4-6: NEEDS WORK
  • 0-3: CRITICAL

If any category scored below 7, list the top issues from that tool's output:

DETAILS: Lint (3 warnings)
  biome check . output:
    src/utils.ts:42 — lint/complexity/noForEach: Prefer for...of
    src/api.ts:18 — lint/style/useConst: Use const instead of let
    src/api.ts:55 — lint/suspicious/noExplicitAny: Unexpected any

Step 5: Persist to Health History

eval "$(~/.claude/skills/gstack/bin/gstack-slug 2>/dev/null)" && mkdir -p ~/.gstack/projects/$SLUG

Append one JSONL line to ~/.gstack/projects/$SLUG/health-history.jsonl:

{"ts":"2026-03-31T14:30:00Z","branch":"main","score":9.1,"typecheck":10,"lint":8,"test":10,"deadcode":7,"shell":10,"duration_s":23}

Fields:

  • ts -- ISO 8601 timestamp
  • branch -- current git branch
  • score -- composite score (one decimal)
  • typecheck, lint, test, deadcode, shell -- individual category scores (integer 0-10)
  • duration_s -- total time for all tools in seconds

If a category was skipped, set its value to null.


Step 6: Trend Analysis + Recommendations

Read the last 10 entries from ~/.gstack/projects/$SLUG/health-history.jsonl (if the file exists and has prior entries).

eval "$(~/.claude/skills/gstack/bin/gstack-slug 2>/dev/null)" && mkdir -p ~/.gstack/projects/$SLUG
tail -10 ~/.gstack/projects/$SLUG/health-history.jsonl 2>/dev/null || echo "NO_HISTORY"

If prior entries exist, show the trend:

HEALTH TREND (last 5 runs)
==========================
Date          Branch         Score   TC   Lint  Test  Dead  Shell
----------    -----------    -----   --   ----  ----  ----  -----
2026-03-28    main           9.4     10   9     10    8     10
2026-03-29    feat/auth      8.8     10   7     10    7     10
2026-03-30    feat/auth      8.2     10   6     9     7     10
2026-03-31    feat/auth      9.1     10   8     10    7     10

Trend: IMPROVING (+0.9 since last run)

If score dropped vs the previous run:

  1. Identify WHICH categories declined
  2. Show the delta for each declining category
  3. Correlate with tool output -- what specific errors/warnings appeared?
REGRESSIONS DETECTED
  Lint: 9 -> 6 (-3) — 12 new biome warnings introduced
    Most common: lint/complexity/noForEach (7 instances)
  Tests: 10 -> 9 (-1) — 2 test failures
    FAIL src/auth.test.ts > should validate token expiry
    FAIL src/auth.test.ts > should reject malformed JWT

Health improvement suggestions (always show these):

Prioritize suggestions by impact (weight * score deficit):

RECOMMENDATIONS (by impact)
============================
1. [HIGH]  Fix 2 failing tests (Tests: 9/10, weight 30%)
   Run: bun test --verbose to see failures
2. [MED]   Address 12 lint warnings (Lint: 6/10, weight 20%)
   Run: biome check . --write to auto-fix
3. [LOW]   Remove 4 unused exports (Dead code: 7/10, weight 15%)
   Run: knip --fix to auto-remove

Rank by weight * (10 - score) descending. Only show categories below 10.


Important Rules

  1. Wrap, don't replace. Run the project's own tools. Never substitute your own analysis for what the tool reports.
  2. Read-only. Never fix issues. Present the dashboard and let the user decide.
  3. Respect CLAUDE.md. If ## Health Stack is configured, use those exact commands. Do not second-guess.
  4. Skipped is not failed. If a tool isn't available, skip it gracefully and redistribute weight. Do not penalize the score.
  5. Show raw output for failures. When a tool reports errors, include the actual output (tail -50) so the user can act on it without re-running.
  6. Trends require history. On first run, say "First health check -- no trend data yet. Run /health again after making changes to track progress."
  7. Be honest about scores. A codebase with 100 type errors and all tests passing is not healthy. The composite score should reflect reality.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.