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-template-render-pathgit 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-template-render-path)<a href="https://agentmods.dev/skills/zhaoxuya520/reverse-skill/competition-template-render-path"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/competition-template-render-path.svg" alt="Measured on agentmods" 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 | $0.00111 | $0.00657 |
| Opus 5 | $0.00056 | $0.00329 |
| Sonnet 5 | $0.00022 | $0.00131 |
| Haiku 4.5 | $0.00011 | $0.00066 |
Grade A, and why
competition-template-render-path 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 8d 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-template-render-path — 100% identical, 0 lines differ
- competition-template-render-path — 100% identical, 0 lines differ
- competition-template-render-path — 100% identical, 0 lines differ
- competition-template-render-path — 100% identical, 0 lines differ
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 Template Render Path
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 bug or artifact lives in route resolution, server render context, template data, or hydration handoff rather than in a plain JSON API alone.
Reply in Simplified Chinese unless the user explicitly requests English.
Quick Start
- Map the render chain in order: route resolution, loader or data fetch, template or component context, response HTML, hydration payload, and client takeover.
- Record host, route params, preview toggles, tenant or host switches, and server-only variables before mutating anything.
- Compare template gating with loader or handler enforcement.
- Preserve one successful render and one failing render path with the smallest delta.
- Reproduce the smallest request-to-render branch that proves the decisive behavior.
Workflow
1. Map Route To Render Context
- Record host, path, route match, loader, template, layout, hydration blob, and client boot chunk for the active view.
- Note whether the response is SSR HTML, static HTML plus hydration, edge-rendered content, or a template fragment used by another route.
- Keep server-only context and client-visible context separate.
2. Trace Template And Enforcement Boundaries
- Show where permissions, feature flags, preview state, tenant selection, or host-based switches are applied.
- Compare template-level gating, loader-level gating, and backend handler enforcement instead of trusting any one layer.
- Record hidden fields, inline data, hydration JSON, meta tags, or alternate partials that expose the decisive branch.
3. Reduce To The Decisive Render Path
- Compress the result to the smallest sequence: request -> route match -> loader or template context -> rendered output or hidden data -> resulting effect.
- State clearly whether the decisive weakness lives in route selection, template context construction, server-client hydration handoff, or mismatched enforcement between render and handler.
- If the task becomes mostly emitted bundle recovery or source map reconstruction, hand off to the tighter bundle 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.
- 8d ago First seen · 51 lines · 111 tokens per session scan A 0bf311c5e7e5
competition-template-render-path is a skill published in the GitHub repository zhaoxuya520/reverse-skill (35,027 stars, last pushed 5d ago), licensed MIT. It adds 111 tokens to every session and 657 once invoked, about $0.0006 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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