issue-assessment
Skill367 starsChanged 58 days agoMITView on GitHub
Use when triaging a GitHub issue for gflow-cli — a reporter's bug claim, a freshly-filed issue, or deciding whether and how to act on one. Also use when an autonomous agent (hermes-ops) picks up a labelled issue. Read-only: produces a verdict, an end-to-end-verifiability judgment, and a reporter-facing reply. Does not modify code or post anything on its own.
In this repository21 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- llms.txtllms.txt
- changelogSkill
- checkSkill
- doc-reviewSkill
- gflow-cliSkill
- issue-resolveSkill
- known-issuesSkill
- live-verifySkill
- llm-councilSkill
- planSkill
- pr-council-reviewSkill
- predictSkill
- releaseSkill
- scenarioSkill
- sonarSkill
- spikeSkill
- statusSkill
- video-productionSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 14
Read-only conductor. Verify the reporter's claim against the code, tests, docs, KNOWN_ISSUES.md, and auto-memory.
- Very specific: line 19
Core principle: never assert more than the evidence supports.
≈ “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.
Files
issue-assessment — triage a gflow-cli issue honestly
Read-only conductor. Verify the reporter's claim against the code, tests, docs,
KNOWN_ISSUES.md, and auto-memory; classify it; judge whether it can be
verified end-to-end in the current environment; and draft a reply. The output
is a standard artifact a human or the issue-resolve skill can act on.
Core principle: never assert more than the evidence supports. A claim is
CONFIRMED only with line-level code evidence or a reproduction; a fix is
"verified" only after running it on the affected surface. Honest
"can't verify here" beats a false green check — a bounced fix costs more trust
than an accurate "not yet."
When to invoke
- A new or updated GitHub issue needs a verdict before anyone spends effort.
- An autonomous run (hermes-ops) reacts to an issue labelled for triage.
- You're about to "just fix" a reported bug — assess first; the scope decision
(reply-only vs hand to
issue-resolve) depends on this.
Skip for: issues that are obviously feature requests routed elsewhere, or already-triaged issues entering implementation.
Invocation
/gflow:issue-assessment <issue number or URL>This repo's skills/*/SKILL.md are plain Markdown — invoke by reading the
file (via the .claude/commands/gflow/* wrapper), never Skill(skill=...).
Protocol
1. Ingest
gh issue view <N> --json title,body,comments,labels,author,state. Extract: the
claimed symptom, environment (OS, version, install method), exact repro steps,
and any logs/error classes the reporter pasted.
2. Verify (read-only)
Dispatch a search/Explore agent (keep your own context clean) to corroborate or refute the claim against the real tree. Always check, in order:
- the source path(s) the symptom implicates — cite
file_path:line_number; KNOWN_ISSUES.md(is this Open / Mitigated / Resolved already?);- open issues/PRs (
gh pr list,gh issue list) for duplicates or in-flight fixes; - auto-memory for prior context on the surface.
Disprove parts of the reporter's framing where the code says otherwise (e.g.
browser_engine: playwrightis the engine axis, not the channel) — a precise correction is more useful than agreement.
Name the affected SURFACES, not just the affected code. A reporter hits one
surface; the defect usually spans both. gflow ships most capabilities twice — CLI
command and MCP tool — so state explicitly whether the issue reproduces on the CLI,
on the MCP tool, or on both, and whether a fix in one automatically fixes the other
(it does when both route through the same transport; it does not when the MCP path
carries its own params through worker/codec.py). Getting this wrong scopes the
whole downstream fix wrong: a "CLI bug" that is really a shared-transport bug leaves
MCP users broken after the issue is closed.
3. Classify — exactly one verdict
| Verdict | Meaning |
CONFIRMED-BUG | Reproduced, or root-caused in code with line-level evidence. |
LIKELY-BUG / NEEDS-E2E | Strong code hypothesis, but unverifiable in this environment (e.g. macOS-only or headed-browser bug on a headless/Windows host). |
NEEDS-INFO | A specific discriminating diagnostic is required before deciding. |
DUPLICATE / KNOWN-ISSUE | Matches an open issue/PR or a KNOWN_ISSUES.md entry. |
WORKING-AS-INTENDED / INVALID | Usage error or expected behavior. |
WONTFIX / OUT-OF-SCOPE | Real but deliberately not addressed. |
4. e2e-gate — what would verification actually require?
Classify the verification cost before claiming anything is fixed:
- Browser-free (pure-Python logic, Gemini tool-path, unit/lint/type, recording-verif) → verifiable anywhere, including the headless VPS. Run it.
- Headed-Flow-browser required (generation, selector, auth, reCAPTCHA) → not verifiable on a headless or wrong-OS host. Verdict tilts to
LIKELY-BUG / NEEDS-E2E; never claim success; the final check is a human on the affected surface. (See memory:done-means-e2e-verified,pr-must-verify-on-affected-surface.)
5. Report (the artifact)
Produce the reply below. Post it only if the autonomy gate allows (autonomous runs may comment; otherwise surface for a human to send).
**Assessment of #<N>: <verdict>** (confidence <N>/10)
Restated claim: <one line>.
Findings:
- <evidence as file:line> …
- <corrections to the reporter's framing, if any> …
Root cause / hypothesis: <what and why, or "unconfirmed because …">.
What we need next:
- <the single discriminating diagnostic — for NEEDS-INFO/NEEDS-E2E>, or
- <draft PR link — if issue-resolve ran>, or
- <why this is a dup/invalid/wontfix>.6. Hand-off decision (graded, not a hard stop)
- Verdict ∈ {
CONFIRMED-BUG,LIKELY-BUG} and scope is single-surface/localized and a fix is verifiable in this environment → chain toissue-resolve(Phase 9) orpredict(Phase 2). - Otherwise → reply only; the next step is a human or more info.
Pipeline Continuation (Next Step Handoff)
Upon completing an Issue Assessment:
- Confirmed Bug / Feature Request: Proactively announce: "Issue assessed. Next step: Phase 2 Pre-Implementation (
/gflow:predict <proposal>) or Phase 9 Issue Resolve (/gflow:issue-resolve <N>)." - Needs Info / Unconfirmed: Request the specific diagnostic and await information before moving to Phase 2.
Skill routing (do not hallucinate skill names)
Re-derive this from ls skills/ + ls .claude/commands/gflow/ before relying on
it — names drift. Current map:
| Need | Use | How |
| The issue claims a surface is broken/missing/impossible | /gflow:spike | read skills/spike/SKILL.md — do this before classifying |
| High-stakes change (auth/transport/selector/schema) | /gflow:predict | read skills/predict/SKILL.md |
| Edge cases + BDD skeleton | /gflow:scenario | read skills/scenario/SKILL.md |
| Touching auth/reCAPTCHA | /gflow:known-issues | .claude/commands/gflow/known-issues.md |
| Drive the fix | issue-resolve | read skills/issue-resolve/SKILL.md |
| Worktree / TDD | superpowers | Skill() tool (these are invocable) |
Before you classify an absence
A verdict of INVALID / WONTFIX / "not supported on this host" is a claim about the
live product, and this skill is read-only — it cannot produce one from the code alone.
If the issue asserts that something does not work, and the answer turns on what Flow
actually renders or calls, load skills/spike/SKILL.md and get
evidence first.
The failure this prevents: a 20 s selector timeout was read as "the character editor is a labs-only surface, it renders no prompt textbox ever", and that unmeasured negative reached a code comment, a CHANGELOG entry, a release ledger and a test class name before anyone looked at the DOM. The feature had worked the whole time. Closing a reporter's issue on that basis tells a user their working feature is impossible.
Cheap tells that you are about to do it:
- the evidence for the absence is a timeout, an exception, or an exit code
- the claim is about a host, cohort or account class you cannot check from here
- you are about to write "cannot", "never", "not supported" in a reporter-facing reply
Spikes are free for DOM and network reads. Thirty minutes of measurement beats a confident wrong classification that ships.
Output format
A single Markdown block: the verdict line, findings with citations, root-cause hypothesis, and the "what we need next" step. No code changes, no posting unless the autonomy gate permits.
Provenance
Designed 2026-06-29 (docs/superpowers/specs/2026-06-29-issue-assessment-workflow-design.md).
Validated against issue #222 (a LIKELY-BUG / NEEDS-E2E case: macOS + headed
browser, unverifiable on Windows/headless). Authored recipe-shaped after three
baseline runs showed capable agents already comply with the project's discipline
rules — the skill standardizes the procedure and artifact, it does not enforce
discipline the agent lacks.
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.

