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 huuanh20/awesome-ai-agent-skills --skill ck-fixgit clone --depth 1 https://github.com/huuanh20/awesome-ai-agent-skillsWrote 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/huuanh20/awesome-ai-agent-skills/ck-fix)<a href="https://agentmods.dev/skills/huuanh20/awesome-ai-agent-skills/ck-fix"><img src="https://agentmods.dev/badge/skills/huuanh20/awesome-ai-agent-skills/ck-fix/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/huuanh20/awesome-ai-agent-skills/ck-fix"><img src="https://agentmods.dev/badge/skills/huuanh20/awesome-ai-agent-skills/ck-fix.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 | $0.00000 | $0.01341 |
| Opus 5.5 | $0.00000 | $0.00536 |
| Sonnet 5.5 | $0.00000 | $0.00268 |
| Haiku 4.5 | $0.00000 | $0.00134 |
Grade A, and why
ck:fix 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 1mo 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ck:fix — Structured Bug-Fix Pipeline
Modes — mutually exclusive, pick one (default = Standard: auto-approve on code-reviewer's own APPROVED verdict):
--fast— trivial issues (lint, type errors, build errors); skip scout, review, docs--hard— mandatory review, no auto-approve
Report-scoped input (either replaces Step 0's free-text description):
--from-quality <report-path>— the target is exactly the blocking findings in ack:qualityreport (plans/{slug}/quality/{phase}-quality-report.json).--from-test <report-path>— the target is exactly the failures in ack:testfailure report.
With either flag, fix strictly what the report lists — no expanding scope to adjacent code the report doesn't cite, even if it looks related.
Step 0 — Prerequisites + Scope
--from-quality/--from-test: read the report; its findings/failures are the scope. Skip straight to Step 2 (report evidence replaces Scout).
Otherwise, if no error message, stack trace, or concrete description provided: → "Paste the error message or stack trace." Wait before continuing.
# Scope:
# Description: {what the user said, or "from {report-path}"}
# Quick? → {yes/no — reason}
# Mode: {Standard | Quick | Hard}
If --fast or clearly a build/compiler/lint error: skip Step 1 → go directly to Step 2.
Step 1 — Scout
Skip if --from-quality/--from-test (the report already is the evidence).
Spawn scout with the bug description:
- Greps for error patterns in logs and stack traces
- Reads affected source files and maps dependencies
- Checks recent git changes for related commits
// Evidence:
// Error pattern: NullReferenceException at auth.ts:45
// Affected files: auth.ts, session.ts
// Recent change: commit a3f2b1 modified auth.ts (2h ago)
Step 2 — Diagnose
Spawn debugger with the scout evidence report, or with the report's findings/failures directly for --from-quality/--from-test:
- Forms 2–3 hypotheses from the evidence (or takes the report's
required_action/expectedvsactualdirectly — it's already a confirmed root cause, not a hypothesis) - Confirms or rejects each against the codebase
- Applies the minimal fix at the confirmed root cause, scoped to exactly what the report/evidence names
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.
- 1mo ago First seen · 118 lines · 0 tokens per session scan A d886c9b9baab
ck:fix is a skill published in the GitHub repository huuanh20/awesome-ai-agent-skills (1 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,341 tokens. 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
loop
Work through the taskboard unattended for hours, pacing against the usage limits and filling the gap before a reset with CPU-only jobs. Use when asked to run all day, work unattended, or loop over tickets.
learn
Record a correction, decision, finding or failed attempt in the wiki. Use when the user corrects you, when a decision is made with a reason, when an experiment returns a verdict, or when you learn something the next session would otherwise re-derive.
wrap-up
Close out a task by folding what it taught into the wiki, updating the taskboard, and linting. Use at the end of a task, before clearing a session, or when asked to wrap up.
handoff
Write one self-contained goal that a fresh session can continue from. Use when context is running out, before clearing a session, when usage passes 95% on a long run, or when asked for a handoff.
init
Set up Dory in this repo by exploring it, creating wiki/ from the template, and connecting the usage statusline. Use when a project has no wiki/ yet, or when asked to set up Dory.
charles-proxy-extract
Extracts HTTP/HTTPS request and response data from Charles Proxy session files (.chlsj format), including URLs, methods, status codes, headers, request bodies, and response bodies. Use when analyzing captured network traffic from Charles Proxy debug sessions, inspecting API calls, debugging HTTP requests, or examining…