Borrowing it
Nothing to install: this file belongs to PralhadYadawad/avvarre. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/PralhadYadawad/avvarre/master/.claude/skills/avvarre-autopilot/SKILL.mdgit clone --depth 1 https://github.com/PralhadYadawad/avvarreWrote 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/pralhadyadawad/avvarre/avvarre-autopilot)<a href="https://agentmods.dev/skills/pralhadyadawad/avvarre/avvarre-autopilot"><img src="https://agentmods.dev/badge/skills/pralhadyadawad/avvarre/avvarre-autopilot/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/pralhadyadawad/avvarre/avvarre-autopilot"><img src="https://agentmods.dev/badge/skills/pralhadyadawad/avvarre/avvarre-autopilot.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 | $0.00027 | $0.00225 |
| Opus 5.5 | $0.00011 | $0.00090 |
| Sonnet 5.5 | $0.00005 | $0.00045 |
| Haiku 4.5 | $0.00003 | $0.00022 |
Grade A, and why
avvarre:autopilot 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.
What it actually says
Avvarre autopilot
Use the avvarre MCP server to autonomously fix a file until it reaches Grade A (score 90+).
- Determine the target file from context
- Run
avvarre_fileon the file and record the initial score - Loop:
a. If score >= 90, go to step 4
b. Pick the highest-severity violation
c. Fix it using the suggested fix
d. Run
avvarre_fileagain and record the new score e. If score decreased or is unchanged after 3 consecutive iterations, stop and report blocker f. Repeat from step 3a - Done: Report before/after scores and total violations fixed
Maximum 15 iterations. Never skip re-verification. Only fix style violations, never change logic. After completion, update .avvarre/tasks.md with results.
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 · 22 lines · 27 tokens per session scan A e6ebbea565f9
avvarre:autopilot is a skill published in the GitHub repository PralhadYadawad/avvarre (4 stars, last pushed 2mo ago), licensed MIT. It adds 27 tokens to every session and 225 once invoked, about $0.0001 per session on Opus 5.5. 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
moai-ref-cross-model-audit
Cross-model audit convergence reference for the plan-auditor and sync-auditor agents. Documents how to invoke the auditmulti MCP tool to fan a code review out across the Claude subscription, codex, and GLM (z.ai) backends, converge their independent verdicts, and fold the resulting per-backend verdicts + disagreement…
moai-foundation-quality
TRUST 5 quality principles and how MoAI enforces them through agents, the 3-level harness, /moai gate, and sync-auditor scoring. Use for code review, quality gate checks, coverage targets, or TRUST 5 compliance.
moai-review
Code review with security and @MX tag compliance check.
review-comments
Execute a feature-level review-comments cycle — aggregate unaddressed PR comments across every Feature.Repos PR, address or dismiss each one, and emit the standard handoff.
ase-code-lint
Lint source code for potential code quality problems. Use when the user wants to "lint" or "check" source code.
ase-arch-analyze
Review software architecture, including package cohesion and inter-package coupling.