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 mthines/agent-skills --skill observe-rungit clone --depth 1 https://github.com/mthines/agent-skillsWrote 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/mthines/agent-skills/observe-run)<a href="https://agentmods.dev/skills/mthines/agent-skills/observe-run"><img src="https://agentmods.dev/badge/skills/mthines/agent-skills/observe-run/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/mthines/agent-skills/observe-run"><img src="https://agentmods.dev/badge/skills/mthines/agent-skills/observe-run.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 | $0.00231 | $0.03432 |
| Opus 5.5 | $0.00092 | $0.01373 |
| Sonnet 5.5 | $0.00046 | $0.00686 |
| Haiku 4.5 | $0.00023 | $0.00343 |
Grade A, and why
observe-run 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 19d 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 — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Observe Run
Run a command, then read the telemetry that run just emitted, and grade a stated behavioral claim against it.
A test asserts through a keyhole. A trace of the same execution exposes the whole thing: fan-out that went from 2 calls to 14, a retry that fired 5 times, an error swallowed into a 200, an N+1 query, a user ID landing as unbounded metric cardinality — none of which turns a test red. This skill closes that gap by giving the dev loop a fourth telemetry role this repo did not have: telemetry as verification evidence, read seconds after the run that produced it, rather than telemetry read as coverage, as yesterday's production exposure, or as a post-deploy confirmation.
This
SKILL.mdis a thin index. Detailed rules live inrules/*.mdand load on demand.
Inputs
The inputs are a command plus an expectation set — nothing else.
Skill("observe-run")
command: <the command that runs the code under test> # required
expectations: <one or more behavioral assertions> # required; by-construction ones are refused
rung: 1 | 2 # optional; default resolved by rules/rungs.md
run_id: <string> # optional; defaults to a generated dev.run.id
caller: <invoking skill or agent> # logging only
Return value is exactly one verify-behavior receipt, whose final line is
[receipt] verdict: <confirms|contradicts|ambiguous|null> — or nothing at all when the
self-skip gate below fires.
This skill has zero dependency on any aw artifact. It takes no worktree for granted, reads no
plan artifact, and checks no acceptance-criteria ledger. It runs anywhere a command can run.
The self-skip gate
Before doing any work, resolve the repo's committed Observability Profile
(<repo>/memory/observability-profile/INDEX.md, written by measurable setup — see
skills/quality/measurable/rules/setup-profile.md) and
check it names a dev run target (the field measurable setup now asks for — see
Integration: measurable).
What ships with it
6 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.
- 19d ago Changed 7f27986ea43b
- 25d ago Changed · -1 lines · -24 tokens per session 6695850ef8f3
- 29d ago Changed · +27 lines 14a3f6187af9
- 1mo ago First seen · 206 lines · 255 tokens per session scan A b610d213daa6
observe-run is a skill published in the GitHub repository mthines/agent-skills (19 stars, last pushed today), licensed MIT. It adds 231 tokens to every session and 3,432 once invoked, about $0.0009 per session on Opus 5.5. 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 2026-09-15.
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