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/ashtonian/llm-init/statusnpx skills add ashtonian/llm-init --skill statusgit clone --depth 1 https://github.com/ashtonian/llm-initWrote 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/ashtonian/llm-init/status)<a href="https://agentmods.dev/skills/ashtonian/llm-init/status"><img src="https://agentmods.dev/badge/skills/ashtonian/llm-init/status.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 | $0.00008 | $0.00318 |
| Opus 5 | $0.00004 | $0.00159 |
| Sonnet 5 | $0.00002 | $0.00064 |
| Haiku 4.5 | $0.00001 | $0.00032 |
Grade A, and why
status 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 4d 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
Show the current task queue status and provide analysis.
Instructions
- Run
bash docs/spec/.llm/scripts/status.shto get the file-based task queue dashboard. - Also use TaskList to show native task status if any native tasks exist.
- Read
docs/spec/.llm/PROGRESS.mdfor the latest iteration log entries. - Check for stale tasks: Look at lock files in
docs/spec/.llm/tasks/.locks/-- if anyclaimed_attimestamp is older than 30 minutes and the agent process is not running, flag it as stale. - Provide a summary including:
- Queue counts: backlog, in_progress, completed, blocked
- Stale tasks: Any in_progress tasks with locks older than 30 min (suggest: move back to backlog, delete lock)
- Blocked tasks: Why they're blocked and suggest unblocking strategies (check if dependencies are now met, if the blocker can be resolved manually)
- Progress: What's been completed since the last check
- Throughput: If there are completed tasks with timestamps, estimate tasks-per-hour rate and remaining time
- Recommendations: Next actions (launch more agents, unblock tasks, etc.)
- If there are completed tasks, highlight key learnings from PROGRESS.md.
$ARGUMENTS
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.
- 4d ago First seen · 25 lines · 8 tokens per session scan A f539d72eee89
status is a skill published in the GitHub repository ashtonian/llm-init (2 stars, last pushed 6mo ago), licensed MIT. It adds 8 tokens to every session and 318 once invoked, about $0.0000 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 2026-08-31.
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