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 Bilal140202/the-lord-of-the-skills --skill codeaholicguy__ai-devkitgit clone --depth 1 https://github.com/Bilal140202/the-lord-of-the-skillsWrote 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/bilal140202/the-lord-of-the-skills/codeaholicguy__ai-devkit)<a href="https://agentmods.dev/skills/bilal140202/the-lord-of-the-skills/codeaholicguy__ai-devkit"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/codeaholicguy__ai-devkit/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/bilal140202/the-lord-of-the-skills/codeaholicguy__ai-devkit"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/codeaholicguy__ai-devkit.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 | $0.00049 | $0.00885 |
| Opus 5 | $0.00024 | $0.00443 |
| Sonnet 5 | $0.00010 | $0.00177 |
| Haiku 4.5 | $0.00005 | $0.00089 |
Grade A, and why
document-code 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 document-code — 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Documentation Assistant
Build structured understanding of code entry points with an analysis-first workflow.
Hard Rule
- Do not create documentation until the entry point is validated and analysis is complete.
Workflow
- Gather & Validate
- Confirm entry point (file, folder, function, API), purpose, and desired depth.
- Verify it exists; resolve ambiguity or suggest alternatives if not found.
- Search for existing knowledge before analyzing:
npx ai-devkit@latest memory search --query "<entry point name or purpose>"
- Collect Source Context
- Summarize purpose, exports, key patterns.
- Folders: list structure, highlight key modules.
- Functions/APIs: capture signature, parameters, return values, error handling.
- Analyze Dependencies
- Build dependency view up to depth 3, track visited nodes to avoid loops.
- Categorize: imports, function calls, services, external packages.
- Exclude external systems or generated code.
- Synthesize
- Overview (purpose, language, high-level behavior).
- Core logic, execution flow, patterns.
- Error handling, performance, security considerations.
- Improvements or risks discovered during analysis.
- Create Documentation
- Normalize name to kebab-case (
calculateTotalPrice→calculate-total-price). - Create
docs/ai/implementation/knowledge-{name}.mdusing the Output Template — this is the source of truth. - Include mermaid diagrams when they clarify flows or relationships.
- Offer HTML Artifact
- After the markdown is written, ask the user once: "Also generate an HTML artifact for easier scanning? (y/N)".
- If yes, generate sibling
docs/ai/implementation/knowledge-{name}.htmlper the HTML Artifact spec. Regenerate from the markdown on subsequent runs; never hand-edit. - If no or no response, stop here — markdown alone is a complete result.
HTML Artifact
Generated only when the user opts in at step 6. A self-contained HTML file optimized for scanning, not reference reading. Complements the markdown — does not replace it.
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 · 87 lines · 49 tokens per session scan A 9e0e4108e486
document-code is a skill published in the GitHub repository Bilal140202/the-lord-of-the-skills (4 stars, last pushed 6d ago), licensed MIT. It adds 49 tokens to every session and 885 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to document-code, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
review
Review Playwright tests for quality. Use when user says "review tests", "check test quality", "audit tests", "improve tests", "test code review", or "playwright best practices check".
first-plan-lens-engine
Skill que define o motor de detecção e roteamento de stack lenses do first-plan. Mapeia manifestos (go.mod, package.json, etc) -> stack -> papel -> lens skill correspondente. Use quando precisar decidir qual lens aplicar a uma pasta durante Discovery, ou quando estender suporte a uma nova stack.
first-plan-pattern-extraction
Skill que define como extrair padrões do código com confidence scoring. Use durante Discovery quando precisar identificar convenções, anti-padrões ou padrões idiomáticos do projeto. Cada padrão extraído deve vir com exemplo concreto do código (path:line).
serpsmith
Publish SEO articles reliably across AI-agent runtimes.
coding-standards
Detects code smells, anti-patterns, and readability issues. Use when implementing features, reviewing code, or refactoring.
detecting-process-injection-techniques
Detects and analyzes process injection techniques used by malware including classic DLL injection, process hollowing, APC injection, thread hijacking, and reflective loading. Uses memory forensics, API monitoring, and behavioral analysis to identify injection artifacts. Activates for requests involving process…