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 natsu1211/deepwiki-skill --skill wikigit clone --depth 1 https://github.com/natsu1211/deepwiki-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/natsu1211/deepwiki-skill/wiki)<a href="https://agentmods.dev/skills/natsu1211/deepwiki-skill/wiki"><img src="https://agentmods.dev/badge/skills/natsu1211/deepwiki-skill/wiki.svg" alt="Measured on agentmods" 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 | $0.00066 | $0.00880 |
| Opus 5 | $0.00033 | $0.00440 |
| Sonnet 5 | $0.00013 | $0.00176 |
| Haiku 4.5 | $0.00007 | $0.00088 |
Grade A, and why
wiki 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.
How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Your response MUST be written in the language specified by the locale code (default: en-US). This is crucial.
Wiki Document Generator
This skill provides a complete workflow for generating and updating wiki-style documentation for any codebase, with evidence-based citations and Mermaid diagram validation.
Workflow
Fully execute this workflow until completion. Do not ask for user confirmation.
IMPORTANT: If subagent is supported, spawn deepwiki:workflow-runner subagent with the corresponding Phase_id to execute each phase according to execution mode, otherwise read each phase spec file and reference file to understand the requirement and execute sequentially.
Workflow Phase Definitions
| Phase | Phase_id | Phase_spec | Purpose |
|---|---|---|---|
| 1 | repo-scan |
/references/workflow/repo-scan.md |
Scan repository to get context for toc design |
| 2 | toc-design |
/references/workflow/toc-design.md |
Design TOC structure |
| 3 | doc-write |
/references/workflow/doc-write.md |
Generate documentation pages |
| 4 | validate-docs |
/references/workflow/validate-docs.md |
Validate diagrams and structure |
| 5 | doc-summary |
/references/workflow/doc-summary.md |
Generate SUMMARY.md report |
| 6 | incremental-sync |
/references/workflow/incremental-sync.md |
Detect TOC and source changes |
Execution Modes and Phases
This skill supports multiple execution modes and each mode has different execution phases and order.
| Mode | Phases | Description |
|---|---|---|
| Automatic | 1 → 2 → 3 → 4 → 5 | Full pipeline for new documentation |
| Structure-only | 1 → 2 | Generate TOC only, stop before docs |
| TOC-based | 3 → 4 → 5 | Generate docs from existing toc.yaml |
| Incremental | 6 → 3 → 4 → 5 | Update docs after code changes |
Subagent Invocation
This section is available only when subagent is supported
When spawning subagent, pass the required inputs:
What ships with it
23 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.
- references/doc_update_policy.md 9.5 KB
- references/evidence_citation_policy.md 4.2 KB
- references/mermaid_policy.md 8.0 KB
- references/page_template.md 6.1 KB
- references/toc_schema.md 7.5 KB
- references/validation_policy.md 6.2 KB
- references/workflow/doc-summary.md 3.6 KB
- references/workflow/doc-write.md 4.3 KB
- references/workflow/incremental-sync.md 5.2 KB
- references/workflow/repo-scan.md 2.5 KB
- references/workflow/toc-design.md 4.3 KB
- references/workflow/validate-docs.md 6.5 KB
- scripts/collect_context.py 22 KB runs code
- scripts/collect_git_diff.py 11 KB runs code
- scripts/collect_sync_context.py 10 KB runs code
- scripts/collect_update_context.py 19 KB runs code
- scripts/generate_summary.py 16 KB runs code
- scripts/get_section_update_diff.py 7.3 KB runs code
- scripts/read_files.py 11 KB runs code
- scripts/requirements.txt 55 B
- scripts/validate_docs_structure.py 19 KB runs code
- scripts/validate_mermaid.py 25 KB runs code
- templates/toc.yaml.template 7.5 KB
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 · 83 lines · 66 tokens per session scan A 75400f1fd94a
wiki is a skill published in the GitHub repository natsu1211/deepwiki-skill (38 stars, last pushed 2mo ago), licensed MIT. It adds 66 tokens to every session and 880 once invoked, about $0.0003 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
babysit-pr
Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…