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 agentmods add skills/ucsandman/dashclaw/dashclaw-shipnpx skills add ucsandman/DashClaw --skill dashclaw-shipgit clone --depth 1 https://github.com/ucsandman/DashClawWrote 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/ucsandman/dashclaw/dashclaw-ship)<a href="https://agentmods.dev/skills/ucsandman/dashclaw/dashclaw-ship"><img src="https://agentmods.dev/badge/skills/ucsandman/dashclaw/dashclaw-ship.svg" alt="Measured on agentmods" 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 | $0.00225 | $0.07036 |
| Opus 5 | $0.00112 | $0.03518 |
| Sonnet 5 | $0.00045 | $0.01407 |
| Haiku 4.5 | $0.00022 | $0.00704 |
Grade A, and why
dashclaw-ship 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 6d 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 — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dashclaw-ship — full accuracy sweep
After a feature lands in DashClaw, many descriptions of the system go stale: generated artifacts, hand-authored docs, SDK READMEs, plugin/skill reference narratives, and the marketing site. This skill brings all of them back in line with the live code in one disciplined pass.
The mission: GET TO MAIN AND LIVE — never defer
dashclaw-ship is the single command that resolves everything that could keep a change off production, and then lands it on main and ships it live. It does not stop at "the docs are accurate," it does not hand back a checklist, and it never says "leave it for you to land." If something blocks main — a failing gate, a stale count, an unbumped version, or a feature stranded on a branch — the job is to resolve that blocker and drive the code to main, then confirm the deploy. The accuracy sweep below is the means, not the end; stale docs are just one blocker. The end state is: our code is on main and the deploy is live.
Registry publishing is automated: pushing the version tag fires release.yml,
which publishes the SDKs and @dashclaw/cli via OIDC trusted publishing
(each job skips versions already on the registry). npm run release:sdks is
the local fallback (needs the owner's npm login + a PyPI token) and the
Actions "Run workflow" button on release.yml is the manual re-trigger.
If cli/** source changed this ship, bump cli/package.json in the same
commit — npm serves stale content forever under an unbumped version.
Everything else — gates, version bump, doc accuracy, merging a feature branch
into main, and pushing so Vercel deploys — the skill does end to end.
If the work is on a feature branch (not main), landing it is part of the
job — rebase the branch onto the latest main, resolve any conflict (generated
files won't conflict once living-merge is installed), run the gates, then
fast-forward/merge into main and push. "I committed it to a branch" is not
done; "it's on main and the deploy is live" is done. (The only exception is an
explicit, still-in-force user instruction this session to hold a specific branch
back — honor that, but say so out loud; absent that, ship it.)
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.
- 6d ago First seen · 311 lines · 225 tokens per session scan A 27ea3bd6a92c
dashclaw-ship is a skill published in the GitHub repository ucsandman/DashClaw (297 stars, last pushed today), licensed MIT. It adds 225 tokens to every session and 7,036 once invoked, about $0.0011 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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