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 FMXExpress/PasClaw --skill hellogit clone --depth 1 https://github.com/FMXExpress/PasClawWrote 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/fmxexpress/pasclaw/hello)<a href="https://agentmods.dev/skills/fmxexpress/pasclaw/hello"><img src="https://agentmods.dev/badge/skills/fmxexpress/pasclaw/hello/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/fmxexpress/pasclaw/hello"><img src="https://agentmods.dev/badge/skills/fmxexpress/pasclaw/hello.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 | $0.00012 | $0.00614 |
| Opus 5.5 | $0.00005 | $0.00246 |
| Sonnet 5.5 | $0.00002 | $0.00123 |
| Haiku 4.5 | $0.00001 | $0.00061 |
Grade A, and why
hello 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 — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hello skill
This is the minimal SKILL.md format PasClaw understands. Drop a directory
named hello/ (the directory name does not need to match name: but it
keeps things readable) under ~/.pasclaw/workspace/skills/ and the
agent will pick it up automatically the next time pasclaw agent,
pasclaw serve, or any other tool-loaded entry point runs.
Frontmatter fields
| Field | Meaning |
|---|---|
name |
Required. The identifier the agent uses to refer to this skill. Lowercase + underscores by convention. |
description |
One-line summary shown in the system prompt's SKILLS section. Keep it short — the model decides whether to consult the SKILL.md based on this line. |
kind |
Optional. shell makes the skill a callable tool that runs the shell: command; prompt returns the rendered prompt: template; omitted (the common case) makes the skill knowledge-only — no tool registered, just markdown the model reads on demand. |
shell |
Required for kind: shell. Shell command line. {{var}} placeholders are substituted from the JSON args before exec. |
prompt |
Required for kind: prompt. Template string returned verbatim with the same {{var}} substitution. |
schema |
Optional JSON schema describing the args object passed to a callable skill. Single-line JSON. Defaults to {"type":"object"} (any args accepted). |
Body conventions (this part)
Everything after the closing --- is markdown. The model loads it via
fs_read when it decides to consult this skill — keep it focused,
well-structured, and treat it as documentation the model will actually
read once and follow. Picoclaw / nanobot / Anthropic agent-skills all
share this format, so a skill written for any of those will work in
PasClaw with no changes (and vice versa).
When to use this skill
Use this skill when the user asks anything containing the word "hello" in the example domain. Since this is the sample skill, the realistic answer is "never in production" — replace this with the trigger conditions that match your actual workflow.
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 · 52 lines · 12 tokens per session scan A 1e5d1190177a
hello is a skill published in the GitHub repository FMXExpress/PasClaw (63 stars, last pushed today), licensed MIT. It adds 12 tokens to every session and 614 once invoked, about $0.0000 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
update-skills
Check for and apply updates to installed skill branches from upstream.
add-telegram-swarm
Add Agent Swarm (Teams) support to Telegram. Each subagent gets its own bot identity in the group. Requires Telegram channel to be set up first (use /add-telegram). Triggers on "agent swarm", "agent teams telegram", "telegram swarm", "bot pool".
qodo-pr-resolver
Review and resolve PR issues with Qodo - get AI-powered code review issues and fix them interactively (GitHub, GitLab, Bitbucket, Azure DevOps).
update-claudeclaw
Efficiently bring upstream ClaudeClaw updates into a customized install, with preview, selective cherry-pick, and low token usage.
x-integration
X (Twitter) integration for ClaudeClaw. Post tweets, like, reply, retweet, and quote. Use for setup, testing, or troubleshooting X functionality. Triggers on "setup x", "x integration", "twitter", "post tweet", "tweet".
add-gmail
Add Gmail integration to ClaudeClaw. Can be configured as a tool (agent reads/sends emails when triggered from WhatsApp) or as a full channel (emails can trigger the agent, schedule tasks, and receive replies). Guides through GCP OAuth setup and implements the integration.