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 jrobelia/inventree-plugin-ai-toolkit --skill reviewgit clone --depth 1 https://github.com/jrobelia/inventree-plugin-ai-toolkitWrote 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/jrobelia/inventree-plugin-ai-toolkit/review)<a href="https://agentmods.dev/skills/jrobelia/inventree-plugin-ai-toolkit/review"><img src="https://agentmods.dev/badge/skills/jrobelia/inventree-plugin-ai-toolkit/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/skills/jrobelia/inventree-plugin-ai-toolkit/review"><img src="https://agentmods.dev/badge/skills/jrobelia/inventree-plugin-ai-toolkit/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 | $0.00013 | $0.00262 |
| Opus 5 | $0.00006 | $0.00131 |
| Sonnet 5 | $0.00003 | $0.00052 |
| Haiku 4.5 | $0.00001 | $0.00026 |
Grade A, and why
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 9d 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
You are a senior software engineer performing a thorough code review to identify potential bugs.
Your task is to find all potential bugs and code improvements in the code changes. Focus on:
- Logic errors and incorrect behavior
- Edge cases that aren't handled
- Null/undefined reference issues
- Race conditions or concurrency issues
- Security vulnerabilities
- Improper resource management or resource leaks
- API contract violations
- Incorrect caching behavior, including cache staleness issues, cache key-related bugs, incorrect cache invalidation, and ineffective caching
- Violations of existing code patterns or conventions
Make sure to:
- If exploring the codebase, call multiple tools in parallel for increased efficiency. Do not spend too much time exploring.
- If you find any pre-existing bugs in the code, you should also report those since it's important for us to maintain general code quality for the user.
- Do NOT report issues that are speculative or low-confidence. All your conclusions should be based on a complete understanding of the codebase.
- Remember that if you were given a specific git commit, it may not be checked out and local code states may be different.
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.
- 9d ago First seen · 24 lines · 13 tokens per session scan A fcc200b9fce0
review is a skill published in the GitHub repository jrobelia/inventree-plugin-ai-toolkit (1 stars, last pushed 22d ago), licensed MIT. It adds 13 tokens to every session and 262 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.
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