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 02loveslollipop/OpenCROW --skill agent-workergit clone --depth 1 https://github.com/02loveslollipop/OpenCROWWrote 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/02loveslollipop/opencrow/agent-worker)<a href="https://agentmods.dev/skills/02loveslollipop/opencrow/agent-worker"><img src="https://agentmods.dev/badge/skills/02loveslollipop/opencrow/agent-worker/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/02loveslollipop/opencrow/agent-worker"><img src="https://agentmods.dev/badge/skills/02loveslollipop/opencrow/agent-worker.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00035 | $0.00639 |
| Opus 5.5 | $0.00014 | $0.00256 |
| Sonnet 5.5 | $0.00007 | $0.00128 |
| Haiku 4.5 | $0.00003 | $0.00064 |
Grade A, and why
agent-worker 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 — 27 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenCROW Runner - Agent Worker
Use opencrow-worker-mcp to delegate a concrete task to an explicitly selected provider. The standalone runner requires a full OpenCROW installation and the chosen authenticated CLI; it does not require Constellation or an SDK. Inspect toolbox_verify when checking provider availability. Model availability and credentials are verified only when a turn runs.
Delegate and supervise
- Call
worker_startwithtask,provider(antigravity,opencode, orcodex), andworkspace. Include acceptance criteria and an optional provider-nativemodelandeffort. Workers execute with trusted full host access; delegation preserves the scope of the user's task. - Start returns a logical
worker_idbefore the task completes. Its successful MCP envelope means the request was recorded, not that the task passed. Inspect the worker'sstateand results. - Default
workspace_mode: autocreates a unique Git worktree and branch from HEAD, excluding uncommitted source edits. Outside Git, it uses the supplied directory. Usesharedexplicitly to operate on the same files and checked-out branch, including local edits. Concurrent shared workers can overwrite each other; assign distinct responsibilities. - Read
worker_eventswith the last returnednext_cursor. Use optionalwait_secup to 30 seconds to wait for updates, or omitworker_idto monitor all workers. Useworker_statusfor current state and artifact paths. - Answer a
questionevent usingworker_replywith itsquestion_id. Replies are durable; an early reply waits for the current turn to finish. Workers ask cooperatively and end their turn; this is not native interactive steering. - Use
worker_followupafter completion to refine work in the same native session. Select an explicit model override when needed. Pending questions useworker_replyinstead. - Review the retained worktree, diff, checkpoint, final response, and test evidence. Integrate and clean up through the normal repository workflow; the runner does not auto-commit, merge, push, or remove files.
What ships with it
1 file 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.
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 · 27 lines · 35 tokens per session scan A bc3147286c03
agent-worker is a skill published in the GitHub repository 02loveslollipop/OpenCROW (10 stars, last pushed today), licensed Apache-2.0. It adds 35 tokens to every session and 639 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 2026-09-08.
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