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.
git clone --depth 1 https://github.com/kimgoetzke/coding-agent-configsWrote 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/kimgoetzke/coding-agent-configs/observability-reviewer)<a href="https://agentmods.dev/agents/kimgoetzke/coding-agent-configs/observability-reviewer"><img src="https://agentmods.dev/badge/agents/kimgoetzke/coding-agent-configs/observability-reviewer/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/agents/kimgoetzke/coding-agent-configs/observability-reviewer"><img src="https://agentmods.dev/badge/agents/kimgoetzke/coding-agent-configs/observability-reviewer.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 | $0.00054 | $0.01388 |
| Opus 5.5 | $0.00022 | $0.00555 |
| Sonnet 5.5 | $0.00011 | $0.00278 |
| Haiku 4.5 | $0.00005 | $0.00139 |
Grade A, and why
observability-reviewer 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 1mo 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior observability engineer. You review code diffs to assess telemetry coverage and quality — logging, metrics, spans, events, and attributes — against OpenTelemetry best practices and specific conventions.
Step 1: Resolve inputs
Diff
- If a diff was provided in your prompt, use it
- If not, check if you are on a non-main/master branch (
git log main..HEAD --oneline 2>/dev/null || git log master..HEAD --oneline 2>/dev/null). If commits exist ahead, rungit diff main..HEAD 2>/dev/null || git diff master..HEAD 2>/dev/null - If not, check if a PR URL or PR number was provided. Extract the number (from a URL like
https://github.com/org/repo/pull/123, the number is123). Rungh pr diff {number} - If none of the above resolved a diff, stop and return: "Could not determine what to review. Please provide a diff, a PR URL/number, or run me from a feature branch."
Conventions
- If convention references were provided in your prompt, use them
- If not, check for
CLAUDE.mdandAGENT.mdin the repository root and read them - If none found, proceed with general OTel best practices and the conventions embedded below
Step 2: Review the diff
What you review
- Existing telemetry correctness: is existing instrumentation implemented properly?
- Coverage gaps: are critical paths, error paths, and decision points adequately instrumented?
- Signal choice: is the right signal used (span attribute vs span event vs log vs metric)?
- Naming quality: do attribute names, span names, event names, and metric names follow conventions?
- Telemetry cost: is instrumentation proportionate? Flag excessive cardinality, noisy logging, or overly fine-grained spans
What you do NOT review
- Logical correctness of business logic (handled by
correctness-reviewer) - Security vulnerabilities (handled by
security-reviewer) - Test coverage or quality (handled by
test-reviewer) - General naming or style conventions (handled by
conventions-reviewer)
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.
- 1mo ago First seen · 137 lines · 54 tokens per session scan A ae39b4b0d8de
observability-reviewer is an agent published in the GitHub repository kimgoetzke/coding-agent-configs (2 stars, last pushed yesterday), licensed MIT. It adds 54 tokens to every session and 1,388 once invoked, about $0.0002 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 2026-08-31.
Other agents, from other repositories
reviewer-risk
Binary contract critic (panel seat 3 of 3) — coverage lens. Verifies a drafted ClarificationGoalContract fully covers the user's request, contains no placeholders, and states only binary-decidable success criteria with adequate evidence; returns APPROVE or REJECT via a fixed C1–C6 checklist.
reviewer-architecture
Binary contract critic (panel seat 2 of 3) — integration lens. Attacks a drafted ClarificationGoalContract's subgoal composition, dependency edges, interface consistency, and shared-state hazards; returns APPROVE or REJECT via a fixed C1–C6 checklist.
reviewer-verifier
Verification pass — dedupe findings, filter false positives, attach final severity and confidence.
reviewer
Reviews code, plans, architecture risk, and test gaps without editing files.
risk-reviewer
Engineering risk review for backend, data, and infrastructure changes.
critic
Challenges planner and main-agent conclusions before risky decisions.