Claude-cod-top-2026
CLAUDE.md9 starsChanged 6 months agoMITView on GitHub
This is not an application — it's a distributable Claude Code configuration: hooks, skills, agents, and rules that other people install into their own ~/.claude/. claude-md/CLAUDE.md is the actual deliverable (a template install.sh copies to ~/.claude/CLAUDE.md on the end user's machine) — it is a separate artifact from this file, not something to edit when working on the repo itself. This file (root CLAUDE.md) is for developing this repo. CI is Linux (ubuntu-latest, Python 3.11 + 3.12); local Windows runs…
- Deletes or force-pushes
- Installs packages
- Commits and pushes
In this repository164 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .codex/AGENTS.mdAGENTS.md
- agents/CLAUDE.mdCLAUDE.md
- claude-md/CLAUDE.mdCLAUDE.md
- hooks/CLAUDE.mdCLAUDE.md
- insight-architectSkill
- agent-teamsSkill
- brainstormingSkill
- claim-decomposerSkill
- context-engineeringSkill
- dispatcherSkill
- git-worktreesSkill
- hd-mavp-routerSkill
- mentor-modeSkill
- reference-registrySkill
- routing-policySkill
- skill-self-updateSkill
- tdd-workflowSkill
- ab-testSkill
- academic-researchSkill
- advanced-methodology-extensionsSkill
- agent-governanceSkill
- ai-hyp-gateSkill
- algorithm-designSkill
- analystSkill
- archcode-genomicsSkill
- arm-cortex-microcontrollersSkill
- atomizeSkill
- backward-traceabilitySkill
- boyko-constraint-engineSkill
- boyko-epistemic-auditSkill
- boyko-goal-expansion-100Skill
- boyko-knowledge-architectureSkill
- boyko-leverage-mapSkill
- boyko-methodSkill
- boyko-preflightSkill
- boyko-project-radarSkill
- boyko-rippleSkill
- boyko-scientific-consortiumSkill
- boyko-specialistSkill
- boyko-toolcheckSkill
- boyko-triangle-auditSkill
- boyko-why-ladderSkill
- browser-actSkill
- build-autoSkill
- c4-architectureSkill
- career-prepSkill
- changelog-genSkill
- citation-managementSkill
- code-debuggingSkill
- code-materialitySkill
- codex-skepticSkill
- codex-solverSkill
- codex-tracySkill
- combinatorial-creativitySkill
- common-groundSkill
- conductorSkill
- consilienceSkill
- construct-measurement-gateSkill
- convertSkill
- The first 60 shown.
The file
We split this CLAUDE.md into the rules it gives an agent
7 rules. About 0 are common, 2 are distinctive, and 5 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 46
Use datetime.now(timezone.utc), never datetime.utcnow() (ruff's DTZ rule enforces this.
- Very specific: line 141
Every PR needs: pytest tests/ -q clean, ruff check .
- Distinctive: line 169
MUST warn user: if impact returns HIGH or CRITICAL risk.
- Very specific: line 173
NEVER edit a function without running gitnexus_impact first.
- Distinctive: line 174
NEVER ignore HIGH/CRITICAL risk warnings.
- Very specific: line 175
NEVER rename with find-and-replace — use gitnexus_rename (graph-aware).
- Very specific: line 176
NEVER commit without gitnexus_detect_changes().
≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.md 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.
Files
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
What this repo is
This is not an application — it's a distributable Claude Code configuration:
hooks, skills, agents, and rules that other people install into their own
~/.claude/. claude-md/CLAUDE.md is the actual deliverable (a template
install.sh copies to ~/.claude/CLAUDE.md on the end user's machine) — it
is a separate artifact from this file, not something to edit when working on
the repo itself. This file (root CLAUDE.md) is for developing this repo.
Commands
pip install -r requirements.txt
# Full suite (what CI runs, minus the Linux/Windows-only steps)
pytest tests/ -q
ruff check .
mypy --ignore-missing-imports hooks/ scripts/
# Single test
pytest tests/test_architecture.py::TestClassName::test_name -q
pytest tests/test_weakened_test_guard.py -k "hook_main" -q
# Architecture/registry gates (all must pass before merge — see below)
python scripts/check_architecture.py --check
python scripts/check_capability_completeness.py --check
python scripts/gen_hook_matrix.py --check
python scripts/sync_doc_counts.py --check
python scripts/sync_plugin_hooks.py --check
# Shell/install smoke tests
bash tests/test_all.shCI is Linux (ubuntu-latest, Python 3.11 + 3.12); local Windows runs collect
a handful more/fewer environment-dependent tests (some hooks need the live
~/.claude global install). When updating README badges, use the exact
Actual: N tests, M% coverage line CI prints — never a local count
(scripts/sync_readme_from_ci.py does this from the latest main run; for an
open PR, read the number directly from that PR's own CI log).
Use datetime.now(timezone.utc), never datetime.utcnow() (ruff's DTZ
rule enforces this; a few pre-existing hooks are grandfathered via
per-file-ignores in pyproject.toml).
Architecture
The core mechanism: registries + gates, not code review
Three declarative registries are the source of truth for what's installed; Python scripts cross-check each registry's claims against the actual files/wiring on disk, and CI hard-fails on any mismatch:
| Registry | Declares | Checked by |
hooks/registry.yaml | every hook's class/fail_mode/event/escalation | scripts/gen_hook_matrix.py --check (generates docs/hook-control-matrix.md) |
skills/registry.yaml | every skill's kind/maturity/depends_on/capability contract | scripts/check_architecture.py --check (11 numbered gates, see its own module docstring) |
agents/*.md frontmatter | an agent's real identity (name:, not filename) | gate 9 in check_architecture.py, resolves both filename and frontmatter name |
Do not add a hook/skill/agent without updating its registry entry in the
same PR — CI will catch the drift, but the fix belongs with the change,
not as a follow-up. When touching hooks/registry.yaml's fail_mode, note
it is orthogonal to a hook's own hook_main(fn, fail_closed=...) call
(hooks/lib/runtime.py): fail_mode describes the hook's internal
business-logic error path; fail_closed describes the infrastructure
crash/timeout path. A hook can legitimately be fail_mode: open and still
call hook_main(main, fail_closed=True) — see input_guard.py. Every
PREVENT-class hook (escalation: block) must call hook_main() with an
explicit fail_closed= keyword — scripts/gen_hook_matrix.py's
check_prevent_hooks_explicit_fail_closed() enforces this.
PreToolUse vs PostToolUse blocking — do not mix
Full protocol lives in hooks/lib/runtime.py's module docstring; the short
version:
- PreToolUse blocks via
emit_permission_decision()—sys.exit(1)does nothing here. - PostToolUse cannot block at all — the tool has already run.
sys.exit(2)is only the strongest signal (stderr shown to Claude);sys.exit(1)is a legacy non-blocking error. It cannot useemit_permission_decision(). Anything that must prevent an action belongs on PreToolUse.
hooks/utils.py is a facade, not the source
Shared hook code lives in hooks/lib/{runtime,state,discovery,security}.py,
split by responsibility. utils.py re-exports everything for backward
compatibility (most existing hooks still from utils import X); new code
should import directly from hooks/lib/. See hooks/CLAUDE.md for the
full hook-authoring checklist (recursion guards, exit codes, anti-patterns).
Two deployment surfaces, easy to desync
hooks/settings.json (install-script template) is the source;
hooks/hooks.json (plugin-distribution format) is generated from it — never
hand-edit it. After changing settings.json run
python scripts/sync_plugin_hooks.py (regenerates), and
scripts/sync_plugin_hooks.py --check verifies in CI. Separately, the live, installed copy at a user's
~/.claude/ can drift from what's in this repo (a hook fixed here isn't
live until reinstalled/redeployed) — several bugs this project has hit were
exactly this: the repo was correct, the live machine wasn't.
Personal-only consumers are not dead code
Some hooks/registry.yaml entries marked class: library
(expert_registry.py, doc_bridge.py, doc_registry.py) have zero callers
inside this repo by design — their real consumers are personal skills
(expert-compiler, data-bridge) that exist only on the maintainer's
machine, never contributed here. A grep-based "no callers found" finding
against this repo alone is not sufficient evidence of dead code for these
specific files — check outside the repo boundary first.
Memory files
.claude/memory/activeContext.md's CURRENT STATE table must stay short
and current — narrative/historical content belongs in
.claude/memory/history/, not accumulated inline (a prior version grew a
single cell to 52K characters, breaking the Read tool). Don't let this
regress.
Import from other AI-agent configs
This repo also has .codex/ (OpenAI Codex CLI config) present locally, and
the user has ~/.codex/config.toml. If asked to import settings from Codex
or Gemini CLI configs, use Claude Code's own /import flow (/import to
scan, /import --yes=<digest> to apply) rather than reading/copying those
files by hand — it applies the same safe-name/path-traversal guards as the
interactive picker.
Workflow conventions (from this repo's own history, not generic advice)
- One fix per PR. Even a one-line doc-drift fix gets its own branch/PR —
makes
git bisectand rollback trivial, and keeps CI failures attributable. - Reviewer + tests are mandatory (this repo is "production"-classified) — but if the automated reviewer's Evaluator-Optimizer Guard cap is closed (3 non-LGTM verdicts without a reset), that's a real block, not bypassable silently; escalate to the user rather than skip review.
- Every PR needs:
pytest tests/ -qclean,ruff check .clean,mypy --ignore-missing-imports hooks/ scripts/clean, and bothcheck_architecture.py --check/gen_hook_matrix.py --checkgreen. - No
git push --force/git reset --hard, no commit without an explicit request, no direct commits tomain(a pre-commit hook blocks it — work on a feature branch). - Resolving a merge/rebase conflict: finish it, don't
--abortby default.git statusto see conflicted files → open each → resolve markers by keeping the actually-intended content (don't blindly take--ours/--theirswithout reading both sides) →git add <file>per resolved file → complete the operation you started (git merge --continue/git rebase --continue, or finish the pending commit).--abortis for when you genuinely want to cancel and return to the pre-merge state — not a generic escape hatch for a conflict that's merely unclear; read it first.
<!-- gitnexus:start -->GitNexus — Code Intelligence (optional MCP)
GitNexus not installed? Skip this section — use
Grep(pattern, path)andReadinstead. Install:npm install -g gitnexus && npx gitnexus analyze→ restart Claude Code.
Always Do (if GitNexus available)
- MUST run impact analysis before editing any symbol:
gitnexus_impact({target: "symbolName", direction: "upstream"})Fallback:Grep("function_name", "hooks/")— find callers manually. - MUST run
gitnexus_detect_changes()before committing. Fallback:git diff --stat HEAD - MUST warn user if impact returns HIGH or CRITICAL risk.
Never Do
- NEVER edit a function without running
gitnexus_impactfirst. - NEVER ignore HIGH/CRITICAL risk warnings.
- NEVER rename with find-and-replace — use
gitnexus_rename(graph-aware). - NEVER commit without
gitnexus_detect_changes().
Skills Reference
| Task | Skill file |
| Architecture / "How does X work?" | .claude/skills/gitnexus/gitnexus-exploring/SKILL.md |
| Blast radius / "What breaks?" | .claude/skills/gitnexus/gitnexus-impact-analysis/SKILL.md |
| Debug / "Why is X failing?" | .claude/skills/gitnexus/gitnexus-debugging/SKILL.md |
| Rename / refactor | .claude/skills/gitnexus/gitnexus-refactoring/SKILL.md |
| Tools & schema reference | .claude/skills/gitnexus/gitnexus-guide/SKILL.md |
After
git commit: runnpx gitnexus analyzeto refresh index (hook does this automatically).
<!-- gitnexus:end -->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
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.

