Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add jhlee0409/all-for-claudecode --skill triagegit clone --depth 1 https://github.com/jhlee0409/all-for-claudecodeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/jhlee0409/all-for-claudecode/triage)<a href="https://agentmods.dev/skills/jhlee0409/all-for-claudecode/triage"><img src="https://agentmods.dev/badge/skills/jhlee0409/all-for-claudecode/triage/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jhlee0409/all-for-claudecode/triage"><img src="https://agentmods.dev/badge/skills/jhlee0409/all-for-claudecode/triage.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00015 | $0.01681 |
| Opus 5 | $0.00008 | $0.00840 |
| Sonnet 5 | $0.00003 | $0.00336 |
| Haiku 4.5 | $0.00002 | $0.00168 |
Grade A, and why
afc:triage scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/afc:triage — PR & Issue Triage
Collects open PRs and issues, analyzes them in parallel batch, and produces a priority-ranked triage report. Uses lightweight analysis first (no checkout), then selective deep analysis with worktree isolation for PRs that require build/test verification.
Pre-fetched Context
!gh pr list --json number,title,headRefName,author,labels,additions,deletions,changedFiles,createdAt,updatedAt,reviewDecision,isDraft --limit 50 2>/dev/null || echo "PR_FETCH_FAILED"
!gh issue list --json number,title,labels,author,createdAt,updatedAt,comments --limit 50 2>/dev/null || echo "ISSUE_FETCH_FAILED"
Arguments
$ARGUMENTS— (optional) Triage scope--pr— PRs only--issue— Issues only--all— Both PRs and issues (default)- Specific numbers (e.g.,
#42 #43) — Analyze only those items --deep— Force deep analysis (worktree) for all PRs
Execution Steps
1. Collect Targets
Use the pre-fetched context above. If fetch failed, fall back to:
"${CLAUDE_SKILL_DIR}/../../scripts/afc-triage.sh" "$ARGUMENTS"
Apply $ARGUMENTS filtering: skip irrelevant items based on --pr, --issue, or specific numbers.
Empty backlog early-exit: If both PR list and issue list are empty (zero open items after filtering), output a clean-backlog summary and exit:
Triage complete — backlog is clean
├─ Open PRs: 0
├─ Open issues: 0
└─ No items require attention
Skip all subsequent phases.
2. Phase 1 — Lightweight Parallel Batch (no checkout)
Spawn all agents in a single message (parallel batch, max 5 concurrent).
PR Analysis
See prompt template: pr-analysis-prompt.md
Task("Triage PR #{number}: {title}", subagent_type: "general-purpose",
prompt: "<contents of pr-analysis-prompt.md with placeholders filled>")
Issue Analysis (batch of 5 per agent)
Task("Triage Issues #{n1}-#{n5}", subagent_type: "general-purpose",
prompt: "Analyze these issues:
{issue list with titles, labels, comment count}
For each issue:
1. gh issue view {number} --comments
2. Classify:
- Type: Bug|Feature|Enhancement|Question|Maintenance (adapt to project labels)
- Priority: P0 (blocking/critical) | P1 (high impact) | P2 (normal) | P3 (low/nice-to-have)
- Effort: Small|Medium|Large
- Related PRs (if any mentioned)
3. One-line summary
Output per issue:
ISSUE #{number}: {title}
TYPE: ...
PRIORITY: P0|P1|P2|P3
EFFORT: Small|Medium|Large
RELATED_PR: #N or none
SUMMARY: ...")
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 199 lines · 15 tokens per session scan A 7a1bef8f0a37
afc:triage is a skill published in the GitHub repository jhlee0409/all-for-claudecode (7 stars, last pushed 5mo ago), licensed MIT. It adds 15 tokens to every session and 1,681 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
orchestrator-lanes
A file-based project-management playbook for a specific Claude Code development orchestrator. It organizes work into lanes, plans, dependency steps, validation phases, and shipping stages.
eval-agents
Audit Claude Code agents defined in .claude/agents/ for description specificity, model tier appropriateness, tools scoping, and system prompt quality. Detects dispatch ambiguity between agents, flags over-permissive tool grants, and checks for human-in-the-loop patterns that break programmatic orchestration. Use when…
land-and-deploy
Merge PR, wait for CI, verify deploy, run canary. The complete landing pipeline.
self-assessment
Interactive skill assessment with personalized learning path generation.
git-ai-archaeology
Analyze AI config evolution in a git repo. Use when mapping AI adoption history, finding when configs were first introduced, charting commit velocity by month, or identifying maturity phases in a project's AI tooling.
investigate
Systematic root-cause debugging: find the cause before writing any fix.