competition-template-render-path

competition-template-render-path is a skill for Codex from 2233admin/reverse-skill-evolver. It costs 111 tokens per session (657 once invoked), scanned A, a copy of competition-template-render-path, MIT.

A CTF workflow for tracing server-rendered pages from route selection through templates and browser handoff. Server-side rendering creates HTML on the server before the browser takes over.

In plain words
What is it for?
Use it to inspect SSR routes, loaders, render context, template data, hydration payloads, tenant or host switches, and server-client boundaries.
Why use it?
It helps find gaps where a page appears protected but its loader, template data, or hydration payload is not equally enforced.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: $skill-name invocation.

Good fit Use it to inspect SSR routes, loaders, render context, template data, hydration payloads, tenant or host switches, and server-client boundaries.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/2233admin/reverse-skill-evolver/competition-template-render-path
Install

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.

Any agent
npx skills add 2233admin/reverse-skill-evolver --skill competition-template-render-path
Clone the repo
git clone --depth 1 https://github.com/2233admin/reverse-skill-evolver

Made for: Codex.

Wrote 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.

agentmods badge for competition-template-render-path

README.md
[![agentmods](https://agentmods.dev/badge/skills/2233admin/reverse-skill-evolver/competition-template-render-path/github.svg)](https://agentmods.dev/skills/2233admin/reverse-skill-evolver/competition-template-render-path)
Your own site
<a href="https://agentmods.dev/skills/2233admin/reverse-skill-evolver/competition-template-render-path"><img src="https://agentmods.dev/badge/skills/2233admin/reverse-skill-evolver/competition-template-render-path/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.

agentmods 80×15 button for competition-template-render-path

Your own site · 80×15
<a href="https://agentmods.dev/skills/2233admin/reverse-skill-evolver/competition-template-render-path"><img src="https://agentmods.dev/badge/skills/2233admin/reverse-skill-evolver/competition-template-render-path.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 111 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 657 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00111 $0.00657
Opus 5.5 $0.00044 $0.00263
Sonnet 5.5 $0.00022 $0.00131
Haiku 4.5 $0.00011 $0.00066

Measured 1mo ago against content hash 0bf311c5e7e5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 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.

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.

Origin

This is a copy

100% identical to competition-template-render-path — 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.

CTF-Sandbox-Orchestrator/competition-template-render-path/SKILL.md · 51 lines

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

  1. Map the render chain in order: route resolution, loader or data fetch, template or component context, response HTML, hydration payload, and client takeover.
  2. Record host, route params, preview toggles, tenant or host switches, and server-only variables before mutating anything.
  3. Compare template gating with loader or handler enforcement.
  4. Preserve one successful render and one failing render path with the smallest delta.
  5. 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.

Read the full file on GitHub · 51 lines

Files

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.

Changes

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.

  1. 1mo ago First seen · 51 lines · 111 tokens per session scan A 0bf311c5e7e5

Subscribe to this mod's changes

competition-template-render-path is a skill published in the GitHub repository 2233admin/reverse-skill-evolver (24 stars, last pushed 5d ago), licensed MIT. It adds 111 tokens to every session and 657 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to competition-template-render-path, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

idapython

IDA Pro Python scripting for reverse engineering. Use when writing IDAPython scripts, analyzing binaries, working with IDA's API for disassembly, decompilation (Hex-Rays), type systems, cross-references, functions, segments, or any IDA database manipulation. Covers ida modules (50+), idautils iterators, and common…

mrexodia/ida-pro-mcp · 77 tokens

argent-metro-debugger

Debug a JS runtime via CDP using argent debugger tools. Primary path is React Native via Metro (iOS / Android / Vega); a subset of the tools (debugger-connect, debugger-status, debugger-evaluate, debugger-log-registry) also drive a Chromium (CDP) app's renderer (an Electron app, or any Chromium browser exposing CDP)…

software-mansion/argent · 104 tokens

argent-react-native-optimization

Optimizes a React Native app by profiling first to find real bottlenecks, then sweeping for mechanical issues. Entry-point for all performance work. Use when the app feels slow, user asks to optimize, fix re-renders, reduce jank, or improve startup. Delegates to argent-react-native-profiler for measurement.

software-mansion/argent · 71 tokens

nightly-audit-engineer-getting-started

A first-conversation guide for setting up a code-audit assistant. A code audit is a focused review of source code for defects or risky behavior, with the needed repository, scope, concerns, permissions, and schedule clarified first.

makecindy/cindy · 46 tokens

nightly-audit-engineer-ops

A workflow for reviewing code for reproducible quality problems and recording the evidence behind each finding. It follows data through inputs, permissions, storage, asynchronous work, and recovery, then suggests the smallest authorized fix.

makecindy/cindy · 43 tokens

nightly-audit-engineer-evidence

A small local checker that creates stable identifiers for code-audit findings and marks duplicates within the current batch or among previously seen findings. It processes supplied JSON with Python and does not infer whether a problem was fixed.

makecindy/cindy · 37 tokens