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 agentmods add skills/miru-zero/zero-brain/recon-for-secnpx skills add miru-zero/zero-brain --skill recon-for-secgit clone --depth 1 https://github.com/miru-zero/zero-brainWrote 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/miru-zero/zero-brain/recon-for-sec)<a href="https://agentmods.dev/skills/miru-zero/zero-brain/recon-for-sec"><img src="https://agentmods.dev/badge/skills/miru-zero/zero-brain/recon-for-sec.svg" alt="Measured on agentmods" 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 | $0.00041 | $0.00327 |
| Opus 5 | $0.00020 | $0.00163 |
| Sonnet 5 | $0.00008 | $0.00065 |
| Haiku 4.5 | $0.00004 | $0.00033 |
Grade A, and why
recon-for-sec 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 2d 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
89% identical to recon-for-sec — 6 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.
What it actually says
Recon and Methodology Router
This is the starting router for new targets and unknown attack surfaces.
When to Use
- You just received a new target and do not yet know what to test first
- You need to begin with asset discovery, tech fingerprinting, endpoint inventory, and test-route planning
- You want to build follow-up testing on structured methodology instead of random payload enumeration
Skill Map
- Recon and Methodology
- Insecure Source Code Management — .git/.svn/.hg exposure detection
- Dependency Confusion — Supply chain reconnaissance for internal package names
Recommended Flow
- First confirm in-scope assets and target type
- Then perform asset discovery, port/service identification, technology fingerprinting, and endpoint collection
- Route based on collected findings to api-sec, auth-sec, injection-checking, or business-logic-vuln
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.
- 2d ago First seen · 27 lines · 41 tokens per session scan A cee79777bee7
recon-for-sec is a skill published in the GitHub repository miru-zero/zero-brain (0 stars, last pushed 18d ago), licensed MIT. It adds 41 tokens to every session and 327 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to recon-for-sec, differing in 6 lines, and is treated as a copy.
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