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 capture0x/YeepForge --skill sast-ssrfgit clone --depth 1 https://github.com/capture0x/YeepForgeWrote 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/capture0x/yeepforge/sast-ssrf)<a href="https://agentmods.dev/skills/capture0x/yeepforge/sast-ssrf"><img src="https://agentmods.dev/badge/skills/capture0x/yeepforge/sast-ssrf/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/capture0x/yeepforge/sast-ssrf"><img src="https://agentmods.dev/badge/skills/capture0x/yeepforge/sast-ssrf.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 | $0.00099 | $0.06880 |
| Opus 5.5 | $0.00040 | $0.02752 |
| Sonnet 5.5 | $0.00020 | $0.01376 |
| Haiku 4.5 | $0.00010 | $0.00688 |
Grade B, and why
sast-ssrf scanned grade B with 3 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 1mo 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.
Cloud metadata endpointmediumServer-side request forgery
One request to 169.254.169.254 can return temporary IAM credentials.
> - **Blocklist of private IP ranges / metadata endpoints**: `169.254.169.254`, `10.0.0.0/8`, `192.168.0.0/16`, etc. - **not** sufficient. Bypassable via DNS rebinding, alternate IP representations, and redirect chains. Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- HTTP client calls where the URL or host is built from user input: `requests.get(user_url)` Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
> - `subprocess.run(["curl", url, ...])`, `subprocess.Popen(["wget", url, ...])` The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 1mo ago First seen · 544 lines · 99 tokens per session scan B 05ccb772feaa
sast-ssrf is a skill published in the GitHub repository capture0x/YeepForge (8 stars, last pushed 2mo ago), with no licence file. It adds 99 tokens to every session and 6,880 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it B with 3 findings (cloud metadata endpoint, makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
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zen-comprehensive-review
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code-review
Review code changes for correctness, security, performance, and code quality. Use when the user asks to review a diff, review code changes, review commits, or perform a code review. Input can be: (1) a text diff pasted directly, (2) one or more git commit hashes to extract the diff from, or (3) a git range like…
cross-review
Delegate code review to a subagent running a specific model. Use ONLY when user explicitly names a model to review changes ("review with opus", "use sonnet to review", "review with gemini"). The root agent reconstructs changes from conversation history and spawns a subagent with the code-review skill using the…
zen-review
Expert code reviewer. Analyze PR changes for correctness, security, performance, and quality. Returns findings as JSON. CRITICAL: this skill is costly, don't use it unless user explicitly requested to use it.
adversarial-auditor
Adversarial auditor that red-teams technical plans, asserts fail-closed factual provenance, decomposes cognitive token spend, and prevents premature completion.