MateClaw is a pluggable agent runtime that coordinates AI agents, tools, conversations, memory, and workflows. It is designed for personal and multi-user AI assistants, including agents used through chat platforms. Catalogue add-ons provide skills for extending its agent workflows.
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 mateaix/mateclaw --skill skill-authoringgit clone --depth 1 https://github.com/mateaix/mateclawWrote 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/mateaix/mateclaw/skill-authoring)<a href="https://agentmods.dev/skills/mateaix/mateclaw/skill-authoring"><img src="https://agentmods.dev/badge/skills/mateaix/mateclaw/skill-authoring/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/mateaix/mateclaw/skill-authoring"><img src="https://agentmods.dev/badge/skills/mateaix/mateclaw/skill-authoring.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 | $0.00018 | $0.02506 |
| Opus 5.5 | $0.00007 | $0.01002 |
| Sonnet 5.5 | $0.00004 | $0.00501 |
| Haiku 4.5 | $0.00002 | $0.00251 |
Grade A, and why
skill-authoring 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 — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Authoring MateClaw Skills
Overview
A skill is a SKILL.md file — YAML frontmatter plus a markdown body of reusable instructions. There are two places a SKILL.md can live, and they have different creation paths:
- Builtin (in-repo):
mateclaw-server/src/main/resources/skills/<name>/SKILL.md— committed, shipped inside the server JAR. On every startupBuiltinSkillSeedServicescansclasspath*:skills/*/SKILL.md, parses each frontmatter, and upserts a row intomate_skillkeyed byname. The SKILL.md is the single source of truth — no SQL seed entry is required. - Custom (runtime): created by an agent or user through the
skill_managetool. Stored as amate_skillrow withskill_type=customand exported to the workspace at~/.mateclaw/skills/<name>/. Not committed; lives per-installation.
This skill covers both. Note that skill_manage does NOT write into the in-repo skills/ tree — builtin skills are authored by writing the file directly and restarting.
When to Use
- You're adding a reusable workflow that should ship with MateClaw → builtin.
- You're editing an existing builtin skill under
mateclaw-server/src/main/resources/skills/. - An agent finished a complex task and wants to persist the approach → custom, via
skill_manage. - You're reviewing a SKILL.md for correct frontmatter and structure.
Don't use for: recording a one-off tip discovered while using a skill (that belongs in record_lesson / a per-skill LESSONS.md) or cross-skill memory notes (remember). This skill is about writing the skill document itself.
Required Frontmatter
The frontmatter is parsed by SkillFrontmatterParser: a regex (^---\s*\n(.*?)\n---\s*\n(.*)$) splits the fenced block, then SnakeYAML loads it as a mapping. Hard requirements:
- Starts with
---as the first bytes — no leading blank line, no BOM. - A closing
---line follows, then the body. The body must be non-empty. - The block between the fences parses as a YAML mapping.
nameis present — it is the upsert key.BuiltinSkillSeedServiceskips any SKILL.md with noname.descriptionis present — a single line.
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 · 166 lines · 18 tokens per session scan A f202d33f7779
skill-authoring is a skill published in the GitHub repository mateaix/mateclaw (1,161 stars, last pushed yesterday), licensed Apache-2.0. It adds 18 tokens to every session and 2,506 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.
Other skills, from other repositories
app
A skill-management module for storing, organising, sharing, and managing reusable skills, including their descriptions, content, tags, and files.
openclaw-security-checker
A security checker for OpenClaw installations, including their configuration, permissions, containers, network access, and logs.
seclens-enterprise-web
Professional web application and API security testing workflows using OWASP Top 10 methodologies.
pentest-recon-attack-surface
White-box attack surface mapping — correlate external scans, browser exploration, and source code into structured endpoint inventory, role architecture, and authorization vulnerability candidates.
pentest-whitebox-code-review
Source code security audit using backward taint analysis, slot type classification, render context verification, and 3-phase parallel review producing an exploitation queue.
pentest-api-deep
Deep OWASP API Security Top 10 testing for REST, GraphQL, gRPC, and WebSocket APIs — BFLA, mass assignment, rate limiting, and unsafe consumption.