Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/quay/ai-helpersnpx agentmods add skills/quay/ai-helpers/documentWrote 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/quay/ai-helpers/document)<a href="https://agentmods.dev/skills/quay/ai-helpers/document"><img src="https://agentmods.dev/badge/skills/quay/ai-helpers/document.svg" alt="Measured on agentmods" 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 | $0.00031 | $0.00788 |
| Opus 5 | $0.00015 | $0.00394 |
| Sonnet 5 | $0.00006 | $0.00158 |
| Haiku 4.5 | $0.00003 | $0.00079 |
Grade B, and why
document scanned grade B with 1 finding 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 2d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
cat .claude/templates/pr-description.md 2>/dev/null How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Document Fix
Create all documentation artifacts needed to close out the bug fix.
Process
Step 1: Update JIRA Ticket
Create artifacts/quay-bugfix/docs/issue-update.md with:
- Root cause summary
- Description of the fix and what was changed
- Links to commits, branches, or PRs
- Test coverage added
- Any breaking changes
Do NOT transition the JIRA ticket — automation handles state transitions.
Step 2: Create Release Notes Entry
Create artifacts/quay-bugfix/docs/release-notes.md with:
- User-facing description of what was fixed
- Impact and who was affected
- Affected versions
- Action required from users
- Clear, non-technical language
Step 3: Update CHANGELOG
Create artifacts/quay-bugfix/docs/changelog-entry.md with:
- Entry following project CHANGELOG conventions
- Placed in Bug Fixes category
- JIRA ticket reference included
- Format:
- Fixed [description] (PROJQUAY-XXXX)
Step 4: Create PR Description
Read the PR description template if available:
cat .claude/templates/pr-description.md 2>/dev/null
Create artifacts/quay-bugfix/docs/pr-description.md with:
- Summary: What this PR does
- Root Cause / Rationale: Why the change was needed
- Changes: What changed (file references)
- Test Plan: How to verify
- JIRA Link:
https://issues.redhat.com/browse/<TICKET> - Backport: Required or not (from assessment)
Step 5: Technical Communication
Create artifacts/quay-bugfix/docs/team-announcement.md with:
- Message for engineering team
- Severity and urgency of deployment
- Testing guidance
- Deployment considerations
Step 6: User Communication (if user-facing bug)
Create artifacts/quay-bugfix/docs/user-announcement.md with:
- Customer-facing announcement
- Non-technical explanation
- Upgrade/mitigation instructions
Output
All files created in artifacts/quay-bugfix/docs/:
issue-update.md— JIRA comment textrelease-notes.md— Release notes entrychangelog-entry.md— CHANGELOG additionpr-description.md— Pull request descriptionteam-announcement.md— Internal communicationuser-announcement.md(optional) — Customer communication
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.
- 2d ago First seen · 119 lines · 31 tokens per session scan B 854d278965c4
document is a skill published in the GitHub repository quay/ai-helpers (3 stars, last pushed 19d ago), licensed MIT. It adds 31 tokens to every session and 788 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.
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