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 fabriqaai/specs.md --skill code-reviewgit clone --depth 1 https://github.com/fabriqaai/specs.mdWrote 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/fabriqaai/specs.md/code-review)<a href="https://agentmods.dev/skills/fabriqaai/specs.md/code-review"><img src="https://agentmods.dev/badge/skills/fabriqaai/specs.md/code-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/fabriqaai/specs.md/code-review"><img src="https://agentmods.dev/badge/skills/fabriqaai/specs.md/code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 76 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00030 | $0.02149 |
| Opus 5.5 | $0.00012 | $0.00860 |
| Sonnet 5.5 | $0.00006 | $0.00430 |
| Haiku 4.5 | $0.00003 | $0.00215 |
Grade A, and why
code-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 2mo 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 — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<degrees_of_freedom>
- AUTO-FIX: LOW — Only mechanical, non-semantic changes
- SUGGESTIONS: MEDIUM — Present options, let user decide </degrees_of_freedom>
<input_context> The skill receives from run-execute:
files_created:
- path: src/auth/login.ts
purpose: Login endpoint handler
- path: src/auth/login.test.ts
purpose: Unit tests for login
files_modified:
- path: src/routes/index.ts
changes: Added login route
run_id: run-fabriqa-2026-001
intent_id: user-auth
</input_context>
<references_index> </references_index>
<action>Detect project tooling:</action>
<substep>Check for .eslintrc, eslint.config.js (JavaScript/TypeScript)</substep>
<substep>Check for .prettierrc (formatting)</substep>
<substep>Check for golangci.yml (Go)</substep>
<substep>Check for pyproject.toml, ruff.toml (Python)</substep>
<action>Read each file to be reviewed</action>
<output>Reviewing {file_count} files...</output>
<check if="golangci config exists">
<action>Run: golangci-lint run --fix {files}</action>
<action>Parse output for remaining issues</action>
</check>
<check if="ruff/pyproject config exists">
<action>Run: ruff check --fix {files}</action>
<action>Parse output for remaining issues</action>
</check>
<check if="no linter configured">
<action>Use built-in review rules from references/review-categories.md</action>
</check>
<action>Classify each finding using references/auto-fix-rules.md:</action>
<substep>AUTO-FIX: Mechanical, non-semantic, reversible, tests won't break</substep>
<substep>CONFIRM: Behavioral change, security implication, judgment required</substep>
<action>Group findings by category and severity</action>
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 258 lines · 30 tokens per session scan A 77df04d6f091
code-review is a skill published in the GitHub repository fabriqaai/specs.md (225 stars, last pushed 3d ago), licensed MIT. It adds 30 tokens to every session and 2,149 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 2026-08-30.
code-review compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| code-reviewfabriqaai/specs.md | Skill | 225 | 3d ago | MIT | A | 30 | Claude Code, Codex |
| code-reviewgithub/spec-kit | Skill | 148k | yesterday | MIT | A | 54 | Claude Code |
| review-prsgoogleapis/mcp-toolbox | Skill | 17k | yesterday | Apache-2.0 | A | 162 | Claude Code, Codex |
| review-trtmc-prNVIDIA/TensorRT-Model-Connect | Skill | 289 | yesterday | Apache-2.0 | A | 105 | Codex |
| pr-babysitterNVIDIA/TensorRT-Model-Connect | Skill | 289 | yesterday | Apache-2.0 | A | 48 | Codex |
| submit-github-prNVIDIA/TensorRT-Model-Connect | Skill | 289 | yesterday | Apache-2.0 | A | 58 | Codex |
| write-git-messagesNVIDIA/TensorRT-Model-Connect | Skill | 289 | yesterday | Apache-2.0 | A | 75 | Codex |