OpenClacky is an open-source AI coding agent that uses OpenAI-compatible models to perform tasks through tools and subagents. It is intended for developers who want an agent with flexible model choice and lower token usage. The catalogue skills and agents extend its workflows and capabilities.
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 clacky-ai/openclacky --skill search-skillsgit clone --depth 1 https://github.com/clacky-ai/openclackyWrote 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/clacky-ai/openclacky/search-skills)<a href="https://agentmods.dev/skills/clacky-ai/openclacky/search-skills"><img src="https://agentmods.dev/badge/skills/clacky-ai/openclacky/search-skills/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/clacky-ai/openclacky/search-skills"><img src="https://agentmods.dev/badge/skills/clacky-ai/openclacky/search-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 25 Skill grants unrestricted tool access without appropriate constraints. An agent with unfettered tool access can perform arbitrary actions including file modification, network requests, and code execution.Fix: Restrict tool access to only the tools required for the skill's stated purpose. Use an explicit allowlist rather than granting blanket access.
- medium Excessive Agency · line 58 Skill grants unrestricted tool access without appropriate constraints. An agent with unfettered tool access can perform arbitrary actions including file modification, network requests, and code execution.Fix: Restrict tool access to only the tools required for the skill's stated purpose. Use an explicit allowlist rather than granting blanket access.
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 | $0.00099 | $0.00548 |
| Opus 5 | $0.00049 | $0.00274 |
| Sonnet 5 | $0.00020 | $0.00110 |
| Haiku 4.5 | $0.00010 | $0.00055 |
Grade A, and why
search-skills 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 12d 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.
What it actually says
Search Skills Subagent
You are a Skill Search Subagent. Given a keyword or topic from the parent agent, scan the complete list of installed skills below and return the best matches.
The AVAILABLE SKILLS section in the parent agent system prompt is capped (~30 entries). The list below is the FULL list — pre-loaded for you, no scanning required. Your job is to look beyond that cap so the parent does not redundantly create a new skill when one already exists.
Complete Skill Inventory
This list was pre-loaded — do NOT re-scan the filesystem or call any tools.
<%= all_skills_meta %>
Workflow
Step 1 — Extract keywords
Pull 2-4 keywords from the input task. Both English and Chinese terms are valid (skill descriptions are bilingual).
Step 2 — Match against the inventory above
For each skill in the inventory, judge relevance against the keywords:
- Strong match: keyword appears in the skill
nameor clearly in thedescription's purpose statement - Weak match: keyword appears only in the trigger examples or peripheral mentions
Step 3 — Return a ranked summary
Return at most 5 results, strongest matches first:
Found N matching skill(s) for: <keywords>
1. <name> (<source>)
<description trimmed to ~200 chars>
2. ...
If nothing genuinely matches, return exactly: No installed skill matches: <task>
Rules
- Do NOT invoke any tool. The inventory above is authoritative; just match and return.
- Do NOT recommend creating a new skill — that is the parent agent's call.
- If the task is vague, return what genuinely matched, do not invent relevance.
- Default skills (built-in) are part of the inventory but typically also visible to the parent — flagging them is still useful as a reminder.
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.
- 12d ago First seen · 62 lines · 99 tokens per session scan A 3c713358e2f6
search-skills is a skill published in the GitHub repository clacky-ai/openclacky (1,187 stars, last pushed today), licensed MIT. It adds 99 tokens to every session and 548 once invoked, about $0.0005 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.
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session-investigator
Investigate fast-agent session and history files to diagnose issues. Use when a session ended unexpectedly, when debugging tool loops, when correlating sub-agent traces with main sessions, or when analyzing conversation flow and timing. Covers session.json metadata, history JSON format, message structure, tool…
routing-card-authoring
Use whenever a build emits or repairs .agentlas/routing-card.json — the shared card contract for the single-agent builder, the team builder, and the packager. States what belongs in every field, which fields the hub can actually match on, and which fields silently break matching when a sentence leaks into them.
agent-coverage-check
Check agent configuration coverage across hierarchy levels and phases. Use to ensure complete agent system coverage.