Install
$ agentstack add skill-jhlee0409-all-for-claudecode-issue ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
/afc:issue — GitHub Issue Analysis
> Analyzes a single GitHub issue (title, body, labels, comments, attached images) and produces a structured analysis document. > Searches the codebase for related files and suggests the appropriate next afc skill (debug, spec, or auto).
Pre-fetch
!gh --version >/dev/null 2>&1 && gh auth status >/dev/null 2>&1 && echo "GH_OK" || echo "GH_UNAVAILABLE"
Arguments
$ARGUMENTS— (required) One of:- Issue number:
123or#123 - GitHub URL:
https://github.com/owner/repo/issues/123 - Cross-repo:
owner/repo#123
Execution Steps
1. Prerequisites Check
If the pre-fetch returned GH_UNAVAILABLE:
- Output:
[afc:issue] Error: GitHub CLI (gh) is not installed or not authenticated. Install from https://cli.github.com/ and run 'gh auth login'. - Abort immediately.
2. Parse Input
Determine the input format and extract owner, repo, and issue number:
- GitHub URL (
https://github.com/{owner}/{repo}/issues/{number}): extract from path, setGH_REPO_FLAG="--repo {owner}/{repo}" - Cross-repo (
{owner}/{repo}#{number}): split on#, setGH_REPO_FLAG="--repo {owner}/{repo}" - Local number (
123or#123): strip leading#, setGH_REPO_FLAG=""(use current repo from git remote)
3. Collect Issue Data
gh issue view {number} {GH_REPO_FLAG} --json number,title,body,labels,author,comments,createdAt,state,url
If the command fails → output error and abort.
Parse and extract: TITLE, BODY, LABELS, AUTHOR, COMMENTS, CREATED_AT, STATE, URL.
4. Analyze Attached Images
Extract image URLs from the issue body (skip images inside code block fences):
- Markdown: ``
- HTML: ``
For each URL: fetch with WebFetch, analyze content (error messages, UI screenshots, console output, stack traces), tag results with [Image Analysis]. Record failures as [Image unavailable: {url}].
If no images: note No attached media found.
5. Analyze Comments
If more than 20 comments: analyze only the most recent 20 and note "Analyzed 20 of {N} comments (most recent)".
Extract: reproduction steps, error logs, workarounds, maintainer responses, related issue/PR references.
6. Search Codebase
Extract keywords from title, body, and comments:
- Error messages (quoted strings, stack trace patterns)
- Function/class/module names, file paths, project-specific technical terms
Search with Grep and Glob. Record matching files with line numbers and relevance reason. If no matches: No related code found in current codebase.
7. Classify Issue
Type — choose the strongest matching signal:
| Signal | Type | |--------|------| | Error messages, stack traces, "broken", "doesn't work", reproduction steps | Bug Report | | "Add", "support", "new feature", "would be nice", "enhancement" | Feature Request | | "How to", "is it possible", "what is", "documentation" | Question | | "Improve", "refactor", "better", "optimize", existing feature modification | Enhancement |
Severity — based on production impact, not code location:
| Level | Criteria | |-------|---------| | Critical | Data loss, security vulnerability, application crash, or complete feature unavailability with no workaround | | High | Core functionality broken; workaround exists but is painful or undocumented | | Medium | Non-critical functionality impacted; reasonable workaround available, or significant UX degradation | | Low | Cosmetic issue, minor UX friction, or improvement with no functional impact |
Estimated Scope:
| Level | Criteria | |-------|---------| | Small | 1–2 files — typo, config change, isolated bug fix | | Medium | 3–5 files — feature addition, moderate refactor | | Large | 6+ files — cross-cutting concern, architectural change |
8. Determine Next Step
| Type | Suggested Next Step | |------|-------------------| | Bug Report | /afc:debug "{issue title summary}" | | Feature Request | /afc:spec "{feature description}" or /afc:auto "{feature description}" | | Question | Reply to issue — provide answer or point to documentation | | Enhancement | /afc:spec "{enhancement description}" | | Insufficient info | Reply to issue — request: {specific missing information} |
9. Save Analysis Document
mkdir -p .claude/afc/issues
If .claude/afc/issues/{number}-*.md exists → ask user: "Overwrite existing analysis for issue #{number}?"
Generate slug from title: lowercase, replace non-alphanumeric with -, truncate to 40 chars.
Write to .claude/afc/issues/{number}-{slug}.md:
# Issue #{number}: {title}
> Analyzed: {YYYY-MM-DD}
> Source: {url}
> Labels: {labels, comma-separated}
> Author: {author}
> State: {Open/Closed}
## Summary
{2-4 sentence summary including context from body, comments, and images — not just a restatement of the title.}
## Attached Media Analysis
{If images exist:}
> [Image Analysis] Below is AI interpretation of attached media.
- **Image 1** ({filename or "screenshot"}): {description}
{If no images:}
No attached media found.
## Codebase Impact
- `{path}:{line}` — {why this file is related}
{If no related files:}
No related code found in current codebase.
## Classification
- **Type**: {Bug Report | Feature Request | Question | Enhancement}
- **Severity**: {Critical | High | Medium | Low}
- **Estimated Scope**: {Small (1-2 files) | Medium (3-5) | Large (6+)}
## Suggested Next Step
- [ ] {Primary suggestion with full command} — {reason}
- [ ] {Secondary suggestion if applicable} — {reason}
10. Output Summary
Issue analyzed
├─ Issue: #{number} — {title}
├─ Type: {classification}
├─ Severity: {severity}
├─ Related files: {count}
├─ Document: .claude/afc/issues/{number}-{slug}.md
└─ Next step: {primary suggestion}
Notes
- Read-only: Does not modify any code. Only creates an analysis document.
- Image analysis is best-effort: AI interpretation of screenshots may be imprecise —
[Image Analysis]tag makes this explicit. - Not part of auto pipeline: Standalone skill, invoked manually.
- Relationship to triage:
afc:triagehandles bulk analysis;afc:issuehandles deep individual analysis. - Comment limit: Max 20 comments analyzed (most recent prioritized).
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: jhlee0409
- Source: jhlee0409/all-for-claudecode
- License: MIT
- Homepage: https://www.npmjs.com/package/all-for-claudecode
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.