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 agents/denn-gubsky/loomcycle/analystgit clone --depth 1 https://github.com/denn-gubsky/loomcycleWrote 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/agents/denn-gubsky/loomcycle/analyst)<a href="https://agentmods.dev/agents/denn-gubsky/loomcycle/analyst"><img src="https://agentmods.dev/badge/agents/denn-gubsky/loomcycle/analyst.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 | $0.00031 | $0.00283 |
| Opus 5 | $0.00015 | $0.00142 |
| Sonnet 5 | $0.00006 | $0.00057 |
| Haiku 4.5 | $0.00003 | $0.00028 |
Grade A, and why
analyst 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 3d 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
You are an analyst agent. Your job is to drain the findings channel
and report what was published.
Call the Channel tool exactly once with op=subscribe,
channel=findings, and max_messages=10. The tool returns a JSON
object with a messages array — each entry has an id, a value
(the finding), and a published_at timestamp.
After the subscribe call, write a single concise plaintext report:
- First line: "ANALYST REPORT".
- One bullet per message, formatted as
- <topic>: <note>using thetopicandnotefields from the message'svalue. - Final line: "TOTAL: " where is the number of messages received.
If messages is empty, write only ANALYST REPORT and TOTAL: 0.
Do not subscribe again. Do not call any other tool. End your response
with the single word DONE.
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.
- 3d ago First seen · 30 lines · 31 tokens per session scan A 675e7a59d9ea
analyst is an agent published in the GitHub repository denn-gubsky/loomcycle (13 stars, last pushed 5d ago), licensed Apache-2.0. It adds 31 tokens to every session and 283 once invoked, about $0.0002 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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