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 xAmirHamza77/ReverseOps-Skill --skill competition-ssrf-metadata-pivotgit clone --depth 1 https://github.com/xAmirHamza77/ReverseOps-SkillWrote 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/xamirhamza77/reverseops-skill/competition-ssrf-metadata-pivot)<a href="https://agentmods.dev/skills/xamirhamza77/reverseops-skill/competition-ssrf-metadata-pivot"><img src="https://agentmods.dev/badge/skills/xamirhamza77/reverseops-skill/competition-ssrf-metadata-pivot/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/xamirhamza77/reverseops-skill/competition-ssrf-metadata-pivot"><img src="https://agentmods.dev/badge/skills/xamirhamza77/reverseops-skill/competition-ssrf-metadata-pivot.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 | $0.00113 | $0.00614 |
| Opus 5 | $0.00056 | $0.00307 |
| Sonnet 5 | $0.00023 | $0.00123 |
| Haiku 4.5 | $0.00011 | $0.00061 |
Grade A, and why
competition-ssrf-metadata-pivot 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 competition-ssrf-metadata-pivot — 0 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 — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competition SSRF Metadata Pivot
Use this skill only as a downstream specialization after $ctf-sandbox-orchestrator is already active and has established sandbox assumptions, node ownership, and evidence priorities. If that has not happened yet, return to $ctf-sandbox-orchestrator first.
Use this skill when the decisive path runs through server-side request capability, internal service reachability, or metadata-derived credentials.
Reply in Simplified Chinese unless the user explicitly requests English.
Quick Start
- Separate the SSRF source, forwarding layer, reachable target, and accepted downstream credential edge.
- Record request method, URL construction, header behavior, redirects, DNS or host overrides, and response shaping before mutation.
- Map internal host, metadata endpoint, token extraction, and accepting service as one chain.
- Distinguish read-only reachability from credential-bearing access.
- Reproduce the smallest SSRF-to-accepted-access path.
Workflow
1. Map SSRF Reachability
- Record source primitive: URL parameter, webhook, image fetcher, importer, proxy endpoint, or backend callback.
- Note normalization steps: scheme filtering, host allowlists, redirects, DNS resolution, path rewrite, and header injection.
- Keep target host, protocol, and response behavior tied to the exact SSRF source.
2. Trace Metadata And Credential Pivot
- Show whether metadata endpoints, internal control APIs, or workload identity services are reachable.
- Record token fields, role scope, service account, expiration, and where the token is accepted.
- Distinguish credential extraction success from accepted privilege at a downstream service.
3. Reduce To Decisive SSRF Chain
- Compress to: SSRF source -> internal or metadata target -> credential or sensitive response -> accepted replay or API access.
- State whether the decisive edge is parser bypass, allowlist bypass, redirect abuse, header confusion, or metadata trust.
- If the task becomes mostly cloud identity policy analysis, hand off to the tighter cloud metadata skill.
What ships with it
2 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 · 51 lines · 113 tokens per session scan A e54eea6f95f4
competition-ssrf-metadata-pivot is a skill published in the GitHub repository xAmirHamza77/ReverseOps-Skill (4 stars, last pushed 1mo ago), licensed MIT. It adds 113 tokens to every session and 614 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to competition-ssrf-metadata-pivot, differing in 0 lines, and is treated as a copy.
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