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 olaservo/skilljack-mcp --skill skilljack-docsgit clone --depth 1 https://github.com/olaservo/skilljack-mcpWrote 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/olaservo/skilljack-mcp/skilljack-docs)<a href="https://agentmods.dev/skills/olaservo/skilljack-mcp/skilljack-docs"><img src="https://agentmods.dev/badge/skills/olaservo/skilljack-mcp/skilljack-docs/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/olaservo/skilljack-mcp/skilljack-docs"><img src="https://agentmods.dev/badge/skills/olaservo/skilljack-mcp/skilljack-docs.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00026 | $0.07921 |
| Opus 5.5 | $0.00010 | $0.03168 |
| Sonnet 5.5 | $0.00005 | $0.01584 |
| Haiku 4.5 | $0.00003 | $0.00792 |
Grade A, and why
skilljack-docs 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 — 570 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skilljack MCP Documentation
An MCP server that jacks Agent Skills directly into your LLM's brain.
Skill changes: on stdio the default catalog is sent once, at
initialize, so added or removed skills reach the model's catalog after a restart. Prompts and resources refresh live throughlistChangednotifications. Use--staticfor a fixed skill set.
Tool search / deferred tools. By default, skilljack delivers its skill catalog via MCP server instructions, which arrive in the
initializehandshake and reach the model even when tool search / deferred tool loading is enabled (the default on modern Claude Code, ~2.1.x) — automatic skill activation works out of the box. The legacy--catalog=tool-descriptionmode (not recommended) delivers the catalog inside theload-skilltool description instead, but tool-search clients defer MCP tool descriptions out of context, so that mode requires disabling tool search (e.g.ENABLE_TOOL_SEARCH=false) for auto-activation. See Catalog Delivery.
Features
- Dynamic Skill Discovery - Watches skill directories and automatically refreshes when skills change
- Multiple Sources - Local directories, GitHub repositories, and
.well-known/agent-skills/publishers (both allowlisted) - Tool List Changed Notifications - Sends
tools/listChangedso clients can refresh available skills load-skillTool - Load full skill content on demand (progressive disclosure)- MCP Prompts - Load skills via
/skillprompt with auto-completion or per-skill prompts - MCP Resources - Access skills via
skill://URIs aligned with SEP-2640 - Skills extension (SEP-2640) - Declares
io.modelcontextprotocol/skillsand servesskills/list/skills/getentries with verbatim frontmatter and per-file SHA-256 digests, so a skills-aware host can verify every file it reads - Resource Subscriptions - Real-time file watching with
notifications/resources/updated - Configuration UI - Manage skill directories through an interactive UI in supported clients
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 Changed · +2 lines a8082721c5d6
- 1mo ago Changed · +37 lines 85ea9b01f1ec
- 1mo ago Changed · +2 lines 935cccafa4bf
- 1mo ago Changed · +41 lines d79bd3375ea5
- 2mo ago First seen · 488 lines · 26 tokens per session scan A 2eb52964709c
skilljack-docs is a skill published in the GitHub repository olaservo/skilljack-mcp (21 stars, last pushed 5d ago), licensed MIT. It adds 26 tokens to every session and 7,921 once invoked, about $0.0001 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.
skilljack-docs compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| skilljack-docsolaservo/skilljack-mcp | Skill | 21 | 5d ago | MIT | A | 26 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |