Borrowing it
Nothing to install: this file belongs to borhen68/SkillEngine. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/borhen68/SkillEngine/main/CLAUDE.mdgit clone --depth 1 https://github.com/borhen68/SkillEngineWrote 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/instructions/borhen68/skillengine/claude-md)<a href="https://agentmods.dev/instructions/borhen68/skillengine/claude-md"><img src="https://agentmods.dev/badge/instructions/borhen68/skillengine/claude-md/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/instructions/borhen68/skillengine/claude-md"><img src="https://agentmods.dev/badge/instructions/borhen68/skillengine/claude-md.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 | $0.00467 | $0.00467 |
| Opus 5.5 | $0.00187 | $0.00187 |
| Sonnet 5.5 | $0.00093 | $0.00093 |
| Haiku 4.5 | $0.00047 | $0.00047 |
Grade A, and why
SkillEngine CLAUDE.md 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.
How it starts
The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SkillEngine
This is the SkillEngine project — a collection of production-grade engineering skills for AI coding agents.
Project Structure
skills/ → Core skills (SKILL.md per directory)
agents/ → Reusable agent personas (code-reviewer, test-engineer, security-auditor, web-performance-auditor)
hooks/ → Session lifecycle hooks
.claude/commands/ → Slash commands (/spec, /plan, /build, /test, /review, /code-simplify, /ship; plus /webperf specialist audit)
references/ → Supplementary checklists (testing, performance, security, accessibility)
docs/ → Setup guides for different tools
Skills by Phase
Define: interview-me, idea-refine, spec-driven-development Plan: planning-and-task-breakdown Build: incremental-implementation, test-driven-development, context-engineering, source-driven-development, doubt-driven-development, frontend-ui-engineering, api-and-interface-design Verify: browser-testing-with-devtools, debugging-and-error-recovery Review: code-review-and-quality, code-simplification, security-and-hardening, performance-optimization Ship: git-workflow-and-versioning, ci-cd-and-automation, deprecation-and-migration, documentation-and-adrs, observability-and-instrumentation, shipping-and-launch
Conventions
- Every skill lives in
skills/<name>/SKILL.md - YAML frontmatter with
nameanddescriptionfields - Description starts with what the skill does (third person), followed by trigger conditions ("Use when...")
- Every skill has: Overview, When to Use, Process, Common Rationalizations, Red Flags, Verification
- References are in
references/, not inside skill directories - Supporting files only created when content exceeds 100 lines
Commands
npm test— Not applicable (this is a documentation project)- Validate: Check that all SKILL.md files have valid YAML frontmatter with name and description
Boundaries
- Always: Follow the skill-anatomy.md format for new skills
- Never: Add skills that are vague advice instead of actionable processes
- Never: Duplicate content between skills — reference other skills instead
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 · 44 lines · 467 tokens per session scan A 279734e182b9
SkillEngine CLAUDE.md is an instructions file published in the GitHub repository borhen68/SkillEngine (17 stars, last pushed 4mo ago), licensed MIT. It adds 467 tokens to every session, about $0.0019 per session on Opus 5.5. 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).