Borrowing it
Nothing to install: this file belongs to kissrosecicd-hub/agents-evolution. 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/kissrosecicd-hub/agents-evolution/main/.agents/skills/tob-static-analysis/SKILL.mdgit clone --depth 1 https://github.com/kissrosecicd-hub/agents-evolutionWrote 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/kissrosecicd-hub/agents-evolution/tob-static-analysis)<a href="https://agentmods.dev/skills/kissrosecicd-hub/agents-evolution/tob-static-analysis"><img src="https://agentmods.dev/badge/skills/kissrosecicd-hub/agents-evolution/tob-static-analysis/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/kissrosecicd-hub/agents-evolution/tob-static-analysis"><img src="https://agentmods.dev/badge/skills/kissrosecicd-hub/agents-evolution/tob-static-analysis.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 | $0.00095 | $0.02353 |
| Opus 5 | $0.00048 | $0.01177 |
| Sonnet 5 | $0.00019 | $0.00471 |
| Haiku 4.5 | $0.00010 | $0.00235 |
Grade A, and why
semgrep 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.
This is a copy
100% identical to semgrep — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Semgrep Security Scan
Run a Semgrep scan with automatic language detection, parallel execution via Task subagents, and merged SARIF output.
Essential Principles
- Always use
--metrics=off— Semgrep sends telemetry by default;--config autoalso phones home. Everysemgrepcommand must include--metrics=offto prevent data leakage during security audits. - User must approve the scan plan (Step 3 is a hard gate) — The original "scan this codebase" request is NOT approval. Present exact rulesets, target, engine, and mode; wait for explicit "yes"/"proceed" before spawning scanners.
- Third-party rulesets are required, not optional — Trail of Bits, 0xdea, and Decurity rules catch vulnerabilities absent from the official registry. Include them whenever the detected language matches.
- Spawn all scan Tasks in a single message — Parallel execution is the core performance advantage. Never spawn Tasks sequentially; always emit all Task tool calls in one response.
- Always check for Semgrep Pro before scanning — Pro enables cross-file taint tracking and catches ~250% more true positives. Skipping the check means silently missing critical inter-file vulnerabilities.
When to Use
- Security audit of a codebase
- Finding vulnerabilities before code review
- Scanning for known bug patterns
- First-pass static analysis
When NOT to Use
- Binary analysis → Use binary analysis tools
- Already have Semgrep CI configured → Use existing pipeline
- Need cross-file analysis but no Pro license → Consider CodeQL as alternative
- Creating custom Semgrep rules → Use
semgrep-rule-creatorskill - Porting existing rules to other languages → Use
semgrep-rule-variant-creatorskill
Output Directory
All scan results, SARIF files, and temporary data are stored in a single output directory.
- If the user specifies an output directory in their prompt, use it as
OUTPUT_DIR. - If not specified, default to
./static_analysis_semgrep_1. If that already exists, increment to_2,_3, etc.
What ships with it
5 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.
- 9d ago First seen · 213 lines · 95 tokens per session scan A b12e2130745f
semgrep is a skill published in the GitHub repository kissrosecicd-hub/agents-evolution (31 stars, last pushed 5mo ago), licensed MIT. It adds 95 tokens to every session and 2,353 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to semgrep, differing in 10 lines, and is treated as a copy.
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