Reverse Skill is a routing package for AI coding agents that selects appropriate reverse-engineering, penetration-testing, and security-research methods and tools for a given target. It is used for tasks involving APKs, binaries, frontend JavaScript, packet captures, CTF challenges, and authorized penetration testing. Its catalogue add-ons provide the skills and instructions that guide these workflows.
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 zhaoxuya520/reverse-skill --skill competition-supply-chaingit clone --depth 1 https://github.com/zhaoxuya520/reverse-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/zhaoxuya520/reverse-skill/competition-supply-chain)<a href="https://agentmods.dev/skills/zhaoxuya520/reverse-skill/competition-supply-chain"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/competition-supply-chain/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/zhaoxuya520/reverse-skill/competition-supply-chain"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/competition-supply-chain.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00103 | $0.00517 |
| Opus 5 | $0.00051 | $0.00259 |
| Sonnet 5 | $0.00021 | $0.00103 |
| Haiku 4.5 | $0.00010 | $0.00052 |
Grade A, and why
competition-supply-chain 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 11d 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
4 near-identical copies found in the catalogue:
- competition-supply-chain — 100% identical, 0 lines differ
- competition-supply-chain — 100% identical, 0 lines differ
- competition-supply-chain — 100% identical, 0 lines differ
- competition-supply-chain — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competition Supply Chain
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 challenge is really about provenance, dependency drift, build output, release flow, or what runtime artifact actually got shipped.
Reply in Simplified Chinese unless the user explicitly requests English.
Quick Start
- Split the problem into source, dependency resolution, build, packaging, publish, and runtime consumption.
- Decide where the first divergence occurs between intended artifact and runtime artifact.
- Keep provenance as a compact chain, not a scattered set of observations.
- Reproduce the smallest possible build or package path that still shows the issue.
- Separate checked-in intent from what the pipeline actually emitted.
Workflow
1. Trace Provenance End-To-End
- Map source checkout, lockfiles, dependency fetch, pre/post-install steps, build scripts, packaging, publish target, and runtime consumer.
- Compare declared version, resolved version, and shipped artifact.
- Note registry, cache, mirror, or CI environment differences.
2. Reconcile Build-Time And Runtime
- Compare manifests with image layers, mounted secrets, generated files, and runtime hooks.
- Identify whether the decisive mutation happens in dependency install, build step, publish step, or runtime bootstrap.
3. Report The Break Point
- State the earliest point where provenance diverges.
- Keep evidence in one short chain from source to runtime consumer.
Read This Reference
- Load
references/supply-chain.mdfor the provenance checklist, evidence packaging, and common pipeline failure modes.
What To Preserve
- Declared dependency, resolved dependency, and runtime artifact versions
- CI step names, registry pulls, artifact hashes, and image or package layers
- The runtime consumer that actually accepts or executes the artifact
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.
- 11d ago First seen · 49 lines · 103 tokens per session scan A 9db0fa1c57f9
competition-supply-chain is a skill published in the GitHub repository zhaoxuya520/reverse-skill (35,402 stars, last pushed 7d ago), licensed MIT. It adds 103 tokens to every session and 517 once invoked, about $0.0005 per session on Opus 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.
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