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 Security-Phoenix-demo/security-skills-claude-code --skill opengrep-rule-generator-researchgit clone --depth 1 https://github.com/Security-Phoenix-demo/security-skills-claude-codeWrote 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/security-phoenix-demo/security-skills-claude-code/opengrep-rule-generator-research)<a href="https://agentmods.dev/skills/security-phoenix-demo/security-skills-claude-code/opengrep-rule-generator-research"><img src="https://agentmods.dev/badge/skills/security-phoenix-demo/security-skills-claude-code/opengrep-rule-generator-research/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/security-phoenix-demo/security-skills-claude-code/opengrep-rule-generator-research"><img src="https://agentmods.dev/badge/skills/security-phoenix-demo/security-skills-claude-code/opengrep-rule-generator-research.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 | $0.00059 | $0.04343 |
| Opus 5.5 | $0.00024 | $0.01737 |
| Sonnet 5.5 | $0.00012 | $0.00869 |
| Haiku 4.5 | $0.00006 | $0.00434 |
Grade A, and why
opengrep-rule-generator-research 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- opengrep-rule-generator — 91% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 478 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Opengrep Rule Generator
Overview
Generate valid opengrep/semgrep YAML rules through collaborative dialogue. Supports two workflows: guided (interactive Q&A to discover what to detect) and vulnerability-driven (given CVEs, OWASP categories, or vulnerability descriptions, generate rules automatically).
When to Use
- User says "create a rule", "write a rule", "generate a rule", "detect [vulnerability]"
- User provides a CVE, CWE, or OWASP reference and wants detection rules
- User shares code snippets and asks "how do I catch this pattern?"
- User wants to scan a codebase for a class of vulnerabilities
- User asks to audit code for security issues and wants reusable rules
Process Flow
digraph rule_gen {
"User request" [shape=doublecircle];
"Has specific vulnerability?" [shape=diamond];
"Guided Discovery" [shape=box];
"Vulnerability-Driven" [shape=box];
"Gather context" [shape=box];
"Choose rule mode" [shape=diamond];
"Generate Search rule" [shape=box];
"Generate Taint rule" [shape=box];
"Present rule for review" [shape=box];
"User approves?" [shape=diamond];
"Write rule file" [shape=box];
"Generate test file" [shape=box];
"Validate with opengrep" [shape=doublecircle];
"User request" -> "Has specific vulnerability?";
"Has specific vulnerability?" -> "Vulnerability-Driven" [label="yes"];
"Has specific vulnerability?" -> "Guided Discovery" [label="no"];
"Guided Discovery" -> "Gather context";
"Vulnerability-Driven" -> "Gather context";
"Gather context" -> "Choose rule mode";
"Choose rule mode" -> "Generate Search rule" [label="pattern match"];
"Choose rule mode" -> "Generate Taint rule" [label="data flow"];
"Generate Search rule" -> "Present rule for review";
"Generate Taint rule" -> "Present rule for review";
"Present rule for review" -> "User approves?";
"User approves?" -> "Present rule for review" [label="revise"];
"User approves?" -> "Write rule file" [label="yes"];
"Write rule file" -> "Generate test file";
"Generate test file" -> "Validate with opengrep";
}
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 · 478 lines · 59 tokens per session scan A 4ccef7d2aecf
opengrep-rule-generator-research is a skill published in the GitHub repository Security-Phoenix-demo/security-skills-claude-code (81 stars, last pushed 5d ago), licensed MIT. It adds 59 tokens to every session and 4,343 once invoked, about $0.0002 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.
opengrep-rule-generator-research compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| opengrep-rule-generator-researchSecurity-Phoenix-demo/security-skills-claude-code | Skill | 81 | 5d ago | MIT | A | 59 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |