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.
git clone --depth 1 https://github.com/MilindGaharwar/fettleWrote 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/commands/milindgaharwar/fettle/pr-review)<a href="https://agentmods.dev/commands/milindgaharwar/fettle/pr-review"><img src="https://agentmods.dev/badge/commands/milindgaharwar/fettle/pr-review/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/commands/milindgaharwar/fettle/pr-review"><img src="https://agentmods.dev/badge/commands/milindgaharwar/fettle/pr-review.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 | $0.00020 | $0.00138 |
| Opus 5.5 | $0.00008 | $0.00055 |
| Sonnet 5.5 | $0.00004 | $0.00028 |
| Haiku 4.5 | $0.00002 | $0.00014 |
Grade A, and why
pr-review 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
Generate a structured PR review by orchestrating existing Fettle checks.
Procedure
-
Run the orchestrator:
python3 -m fettle.pr_review --root . -
Present the report with sections: changes, quality scan, coverage, breaking changes, checklist.
-
Highlight any issues that need attention before merging.
-
Offer to fix quality scan errors if present.
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 · 23 lines · 20 tokens per session scan A 5f987f6d7b8d
pr-review is a command published in the GitHub repository MilindGaharwar/fettle (4 stars, last pushed today), licensed Apache-2.0. It adds 20 tokens to every session and 138 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 commands, from other repositories
aitask-pickrem
Pick and implement a task in remote/non-interactive mode. All decisions from execution profile - no AskUserQuestion calls.
aitask-pickweb
Pick and implement a task on Claude Code Web. Zero interactive prompts. No cross-branch operations — stores task data locally in .aitask-data-updated/.
gate
You are the Gate System controller. Execute quality gate reviews based on the user's request.
aitask-shadow
Shadow companion for a followed coding agent — reads its captured terminal output and, in one instruction-driven flow, explains it, helps answer an AskUserQuestion, or critically interrogates a plan. Advisory-only. Spawned by minimonitor; not a task-implementation command.
aitask-brainstorm-discuss
Discuss brainstorm proposals interactively — compare them in simple words or in depth, explain one plainly but fully, answer questions, and check a design for structural flaws and risks. Advisory-only. Launched from the brainstorm TUI; not a task-implementation command.
aitask-explore
Explore the codebase interactively, then create a task for implementation.