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Skill70.3k estrellas del repoactualizado 5d ago

github-triage

# github-triage This GitHub triage skill fetches all open issues and pull requests from a repository, spawns a parallel background analysis task for each item, and generates evidence-backed reports saved to a timestamped directory. The skill reads GitHub data and local code to analyze and classify items but maintains strict read-only access, never commenting, labeling, merging, or modifying any GitHub state. Use this to systematically audit repository backlogs and generate documented triage reports with GitHub permalinks supporting every claim.

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git clone --depth 1 https://github.com/code-yeongyu/oh-my-openagent /tmp/github-triage && cp -r /tmp/github-triage/.opencode/skills/github-triage ~/.claude/skills/github-triage
Después abre una sesión nueva de Claude Code; el skill carga automáticamente.

SKILL.md

# GitHub Triage - Read-Only Analyzer

<role>
Read-only GitHub triage orchestrator. Fetch open issues/PRs, classify, spawn 1 background `quick` subagent per item. Each subagent analyzes and writes a report file. ZERO GitHub mutations.
</role>

## Architecture

**1 ISSUE/PR = 1 `task_create` = 1 `quick` SUBAGENT (background). NO EXCEPTIONS.**

| Rule | Value |
|------|-------|
| Category | `quick` |
| Execution | `run_in_background=true` |
| Parallelism | ALL items simultaneously |
| Tracking | `task_create` per item |
| Output | `/tmp/{YYYYMMDD-HHmmss}/issue-{N}.md` or `pr-{N}.md` |

---

## Zero-Action Policy (ABSOLUTE)

<zero_action>
Subagents MUST NEVER run ANY command that writes or mutates GitHub state.

**FORBIDDEN** (non-exhaustive):
`gh issue comment`, `gh issue close`, `gh issue edit`, `gh pr comment`, `gh pr merge`, `gh pr review`, `gh pr edit`, `gh api -X POST`, `gh api -X PUT`, `gh api -X PATCH`, `gh api -X DELETE`

**ALLOWED**:
- `gh issue view`, `gh pr view`, `gh api` (GET only) - read GitHub data
- `Grep`, `Read`, `Glob` - read codebase
- `Write` - write report files to `/tmp/` ONLY
- `git log`, `git show`, `git blame` - read git history (for finding fix commits)

**ANY GitHub mutation = CRITICAL violation.**
</zero_action>

---

## Evidence Rule (MANDATORY)

<evidence>
**Every factual claim in a report MUST include a GitHub permalink as proof.**

A permalink is a URL pointing to a specific line/range in a specific commit, e.g.:
`https://github.com/{owner}/{repo}/blob/{commit_sha}/{path}#L{start}-L{end}`

### How to generate permalinks

1. Find the relevant file and line(s) via Grep/Read.
2. Get the current commit SHA: `git rev-parse HEAD`
3. Construct: `https://github.com/{REPO}/blob/{SHA}/{filepath}#L{line}` (or `#L{start}-L{end}` for ranges)

### Rules

- **No permalink = no claim.** If you cannot back a statement with a permalink, state "No evidence found" instead.
- Claims without permalinks are explicitly marked `[UNVERIFIED]` and carry zero weight.
- Permalinks to `main`/`master`/`dev` branches are NOT acceptable - use commit SHAs only.
- For bug analysis: permalink to the problematic code. For fix verification: permalink to the fixing commit diff.
</evidence>

---

## Phase 0: Setup

```bash
REPO=$(gh repo view --json nameWithOwner -q .nameWithOwner)
REPORT_DIR="/tmp/$(date +%Y%m%d-%H%M%S)"
mkdir -p "$REPORT_DIR"
COMMIT_SHA=$(git rev-parse HEAD)
```

Pass `REPO`, `REPORT_DIR`, and `COMMIT_SHA` to every subagent.

---

---

## Phase 1: Fetch All Open Items (CORRECTED)

**IMPORTANT:** `body` and `comments` fields may contain control characters that break jq parsing. Fetch basic metadata first, then fetch full details per-item in subagents.

```bash
# Step 1: Fetch basic metadata (without body/comments to avoid JSON parsing issues)
ISSUES_LIST=$(gh issue list --repo $REPO --state open --limit 500 \
  --json number,title,labels,author,createdAt)
ISSUE_COUNT=$(echo "$ISSUES_LIST" | jq length)

# Paginate if needed
if [ "$ISSUE_COUNT" -eq 500 ]; then
  LAST_DATE=$(echo "$ISSUES_LIST" | jq -r '.[-1].createdAt')
  while true; do
    PAGE=$(gh issue list --repo $REPO --state open --limit 500 \
      --search "created:<$LAST_DATE" \
      --json number,title,labels,author,createdAt)
    PAGE_COUNT=$(echo "$PAGE" | jq length)
    [ "$PAGE_COUNT" -eq 0 ] && break
    ISSUES_LIST=$(echo "$ISSUES_LIST" "$PAGE" | jq -s '.[0] + .[1] | unique_by(.number)')
    ISSUE_COUNT=$(echo "$ISSUES_LIST" | jq length)
    [ "$PAGE_COUNT" -lt 500 ] && break
    LAST_DATE=$(echo "$PAGE" | jq -r '.[-1].createdAt')
  done
fi

# Same for PRs
PRS_LIST=$(gh pr list --repo $REPO --state open --limit 500 \
  --json number,title,labels,author,headRefName,baseRefName,isDraft,createdAt)
PR_COUNT=$(echo "$PRS_LIST" | jq length)

if [ "$PR_COUNT" -eq 500 ]; then
  LAST_DATE=$(echo "$PRS_LIST" | jq -r '.[-1].createdAt')
  while true; do
    PAGE=$(gh pr list --repo $REPO --state open --limit 500 \
      --search "created:<$LAST_DATE" \
      --json number,title,labels,author,headRefName,baseRefName,isDraft,createdAt)
    PAGE_COUNT=$(echo "$PAGE" | jq length)
    [ "$PAGE_COUNT" -eq 0 ] && break
    PRS_LIST=$(echo "$PRS_LIST" "$PAGE" | jq -s '.[0] + .[1] | unique_by(.number)')
    PR_COUNT=$(echo "$PRS_LIST" | jq length)
    [ "$PAGE_COUNT" -lt 500 ] && break
    LAST_DATE=$(echo "$PAGE" | jq -r '.[-1].createdAt')
  done
fi

echo "Total issues: $ISSUE_COUNT, Total PRs: $PR_COUNT"
```

**LARGE REPOSITORY HANDLING:**
If total items exceeds 50, you MUST process ALL items. Use the pagination code above to fetch every single open issue and PR.
**DO NOT** sample or limit to 50 items - process the entire backlog.

Example: If there are 500 open issues, spawn 500 subagents. If there are 1000 open PRs, spawn 1000 subagents.

**Note:** Background task system will queue excess tasks automatically.


---

## Phase 2: Classify

| Type | Detection |
|------|-----------|
| `ISSUE_QUESTION` | `[Question]`, `[Discussion]`, `?`, "how to" / "why does" / "is it possible" |
| `ISSUE_BUG` | `[Bug]`, `Bug:`, error messages, stack traces, unexpected behavior |
| `ISSUE_FEATURE` | `[Feature]`, `[RFE]`, `[Enhancement]`, `Feature Request`, `Proposal` |
| `ISSUE_OTHER` | Anything else |
| `PR_BUGFIX` | Title starts with `fix`, branch contains `fix/`/`bugfix/`, label `bug` |
| `PR_OTHER` | Everything else |

---

## Phase 3: Spawn Subagents (Individual Tool Calls)

**CRITICAL: Create tasks ONE BY ONE using individual `task_create` tool calls. NEVER batch or script.**

For each item, execute these steps sequentially:

### Step 3.1: Create Task Record
```typescript
task_create(
  subject="Triage: #{number} {title}",
  description="GitHub {issue|PR} triage analysis - {type}",
  metadata={"type": "{ISSUE_QUESTION|ISSUE_BUG|ISSUE_FEATURE|ISSUE_OTHER|PR_BUGFIX|PR_OTHER}", "number": {number}}
)
```

### Step 3.2: Spawn Analysis Subagent (Background)
```typescript
task(
  category="quick",
  run_in_background=true,
  load_skills=[],
  prompt=S
agent-browserSkill

Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.

ast-grepSkill

Use ast-grep (sg) for AST-aware code search and rewrite across 25 languages. Trigger for structural code matching or deterministic codemods: find every function/call/class/import shaped like X, rewrite console.log to logger.info, strip `as any`, migrate require() to import, find empty catch blocks or missing await, and scan/apply YAML rules. Prefer this over rg/grep when the target is syntax shape rather than text; use rg for string contents, comments, filenames, or regex-style byte searches.

codex-qaSkill

QA the omo Codex Light edition (lazycodex / packages/omo-codex) itself, in strict isolation so ONLY our plugin is exercised, never the user's real ~/.codex. The first-party method drives the real `codex app-server` against an isolated CODEX_HOME plus a LOCAL mock model (no real API call), and proves a plugin hook fired by asserting hook/started + hook/completed notifications. Also: isolated install verification, per-component hook probes, a tmux TUI smoke, and runtime log observation (RUST_LOG / logs SQLite / /debug-config). Ships tested helper scripts each with a --self-test. Use whenever someone changes anything under packages/omo-codex or wants to QA, smoke-test, verify, or debug the Codex plugin, its hooks/components, the installer/config.toml, the app-server flow, or the Codex TUI. Triggers: codex qa, qa codex, codex-qa, test codex plugin, verify codex hook, codex app-server, lazycodex qa, isolated CODEX_HOME, prove codex hook fired, codex tui test.

coding-agent-sessionsSkill

MUST USE when asked to find, read, list, search, inspect, fetch, export, or reconstruct coding-agent sessions across Codex, Claude Code/Desktop, OpenCode, OMO/Senpi/pi, oh-my-pi (omp), gajae-code (gjc), OpenClaw, Factory Droid, Amp, Gemini/Kimi/Qwen CLIs, Codebuff, Roo/Kilo/Cline, Kodu, Cursor CLI, Aider, Aside browser-agent sessions, or unknown local agent logs. Covers transcripts, session IDs, rollout JSONL, state SQLite, Claude projects/pre-compact histories, OpenCode messages/parts, child/subagent linkage, cwd/model/time/token filters, archives, and cost clues. Expands fuzzy recall into parallel query lanes and first probes known stores so absent platforms are skipped cheaply. Triggers: coding agent sessions, Codex/Claude/OpenCode/OMO/Senpi/pi/oh-my-pi/omp/gajae-code/gjc/OpenClaw/Droid/Amp/Kodu/Cursor/Aider/Aside sessions, transcript search, session history, session ID, read transcript, token usage, subagent sessions, what did I do yesterday, did we already do this.

comment-checkerSkill

Use when Codex needs to understand or respond to automatic comment-checker feedback emitted after an edit-like PostToolUse hook.

dag-librarySkill

Store a dag definition once and re-run it in one or two lines, instead of pasting the full definition JSON into every eval cell. MUST USE whenever the user wants to save a DAG for reuse, run a previously saved/named DAG, schedule the same graph repeatedly (nightly/weekly audits, recurring multi-agent pipelines), or asks where to put a dag definition file. Triggers: dag library, save this dag, reuse a dag, run the saved dag, stored dag definition, recurring dag, nightly dag, dag 정의 저장, 저장된 dag 실행, dag 반복 실행, DAG 만들어두고 여러 번.

data-scientistSkill

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debuggingSkill

MUST USE for any real runtime debugging across ANY language or binary — crashes, silent failures, wrong responses, stuck processes, memory leaks, async misbehavior, unexplained timing, reverse engineering. Runs a hypothesis-driven loop: form ≥3 hypotheses, investigate in parallel, after 2 failed rounds spawn Oracles from orthogonal angles, confirm root cause, lock with a failing test, fix minimally, QA by actually USING the system, scrub artifacts. The actual HOW lives in `references/` — READ THEM. Triggers: 'debug this', 'why is X not working', 'hanging', 'attach a debugger', 'reverse engineer', 'pwndbg', 'gdb', 'lldb', 'node inspect', 'pdb', 'dlv', 'delve', 'rust-gdb', 'set a breakpoint', 'context window exploded', 'why is the response empty', 'why is this happening', 'trace this bug', 'reproduce and fix', 'silent failure', 'HTTP 200 but empty', 'why did it stop', 'inspect the binary', 'playwright', 'flaky test', 'fails intermittently', 'passes in isolation', 'only fails in CI'.