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 chan4lk/specclaw --skill autogit clone --depth 1 https://github.com/chan4lk/specclawWrote 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/chan4lk/specclaw/auto)<a href="https://agentmods.dev/skills/chan4lk/specclaw/auto"><img src="https://agentmods.dev/badge/skills/chan4lk/specclaw/auto.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 | $0.00061 | $0.00300 |
| Opus 5 | $0.00030 | $0.00150 |
| Sonnet 5 | $0.00012 | $0.00060 |
| Haiku 4.5 | $0.00006 | $0.00030 |
Grade A, and why
auto 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.
What it actually says
specclaw auto
First, run specclaw-ensure-init .specclaw — idempotently creates .specclaw/ if it doesn't exist (silent if already initialized; auto-inits using the current directory's basename as the project name).
Run the lifecycle autonomously for the active queue.
- Read
.specclaw/STATUS.mdfor the next actionable item across changes. - For each change, advance it to its next phase:
- Proposal exists without plan → run
/specclaw:plan. - Plan exists without implementation → run
/specclaw:build. - Built without verification → run
/specclaw:verify.
- Proposal exists without plan → run
- Respect
config.yamllimits:automation.max_tasks_per_run— cap on total tasks executed this run.automation.auto_verify— whether to chain verify after build.automation.auto_archive— whether to chain archive after a passing verify.
- Notify the user of results via the configured notification channel.
Stop and surface the issue if any phase fails, rather than blindly advancing to the next change.
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 · 23 lines · 61 tokens per session scan A 76ceea5080c6
auto is a skill published in the GitHub repository chan4lk/specclaw (12 stars, last pushed 2d ago), licensed MIT. It adds 61 tokens to every session and 300 once invoked, about $0.0003 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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