Borrowing it
Nothing to install: this file belongs to archfill/tsumugi. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/archfill/tsumugi/main/.agents/skills/tsumugi-runtime-observe/SKILL.mdgit clone --depth 1 https://github.com/archfill/tsumugiWrote 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/archfill/tsumugi/tsumugi-runtime-observe)<a href="https://agentmods.dev/skills/archfill/tsumugi/tsumugi-runtime-observe"><img src="https://agentmods.dev/badge/skills/archfill/tsumugi/tsumugi-runtime-observe/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/archfill/tsumugi/tsumugi-runtime-observe"><img src="https://agentmods.dev/badge/skills/archfill/tsumugi/tsumugi-runtime-observe.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 | $0.00092 | $0.00844 |
| Opus 5 | $0.00046 | $0.00422 |
| Sonnet 5 | $0.00018 | $0.00169 |
| Haiku 4.5 | $0.00009 | $0.00084 |
Grade A, and why
tsumugi-runtime-observe 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 8d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Observe the tsumugi runtime
Gather evidence without changing runtime state. Separate observed facts, interpretation, and unverified hypotheses.
Establish the observation contract
- Identify the environment, project scope, time window, and decision the evidence should support.
- Require explicit authorization before contacting production or any private runtime.
- If access is not authorized or unavailable, produce a read-only query plan instead of guessing.
- Read
docs/ROADMAP.mdand the relevant ADR only when the observation supports a product decision.
Select evidence
Read references/metrics.md and select only signals relevant to the question.
For ADR-014 rollout evaluation, also read references/adr-014-evaluation.md. Treat it as an initial use case, not the permanent boundary of this skill.
Prefer evidence in this order:
- Read-only Admin REST responses and pipeline traces.
- Prometheus metrics over a defined interval.
- Scheduler state and persisted maintenance run history.
- Sanitized logs for exact failure mechanisms.
- Read-only PostgreSQL queries only when explicitly authorized and higher-level evidence is insufficient.
Do not read .env*, credentials, tokens, private endpoint configuration, or raw sensitive capture content.
Collect and normalize
- Record the collection timestamp, time window, filters, and source for every result.
- Compare counters and queue sizes across at least two timestamps when claiming a trend.
- Record which filters and timestamp columns each source actually applies. Do not assume related endpoints use identical populations.
- Use aggregate data first. Inspect individual traces only to explain an aggregate anomaly or sample quality.
- Sanitize user content, prompts, memory narratives, error payloads, and identifiers before reporting.
- Record missing signals and failed queries as coverage gaps, not healthy results.
Interpret cautiously
What ships with it
3 files 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.
- 8d ago First seen · 81 lines · 92 tokens per session scan A 4780210541a5
tsumugi-runtime-observe is a skill published in the GitHub repository archfill/tsumugi (0 stars, last pushed 2d ago), licensed Apache-2.0. It adds 92 tokens to every session and 844 once invoked, about $0.0005 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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