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 diagrid-labs/dapr-skills --skill review-agent-observabilitygit clone --depth 1 https://github.com/diagrid-labs/dapr-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/diagrid-labs/dapr-skills/review-agent-observability)<a href="https://agentmods.dev/skills/diagrid-labs/dapr-skills/review-agent-observability"><img src="https://agentmods.dev/badge/skills/diagrid-labs/dapr-skills/review-agent-observability/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/diagrid-labs/dapr-skills/review-agent-observability"><img src="https://agentmods.dev/badge/skills/diagrid-labs/dapr-skills/review-agent-observability.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 | $0.00662 |
| Opus 5 | $0.00027 | $0.00331 |
| Sonnet 5 | $0.00011 | $0.00132 |
| Haiku 4.5 | $0.00005 | $0.00066 |
Grade A, and why
review-agent-observability 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 12d 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 — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Agents — Observability
Overview
Scans native dapr-agents projects for observability completeness: Dapr tracing Configuration present, sampling rate non-zero, structured logging in use, explicit log level, trace-id propagation on outbound tool calls, and README guidance for trace / metrics UIs. Framework-wrapper projects (LangGraph / CrewAI / OpenAI Agents / etc.) receive a single info finding — those frameworks ship their own observability pipelines.
Execution Order
You MUST follow these phases in strict order.
- Resolve scope — Read
../shared/review-scope-prompt.mdand follow it to setscope_root. - Detect target — Read
../shared/review-detect-target-agent.md. Ifflavor == framework-wrapper, emit oneinfofinding explaining that observability is delegated to the wrapped framework and stop. - Load checklist — Based on
language, read exactly one of:python→../shared/review-agent-observability-python.mddotnet→../shared/review-agent-observability-dotnet.md(stub — emits a singleDAG-OBS-000info finding)
- Scan — Apply every rule.
dapr.yaml,resources/tracing.yaml, tool file contents, andREADME.mdare all potentially in scope. - Report — Format findings using
../shared/review-report-format.md. - Show final message — Emit the report from step 5 with a
## Next stepsblock.
Prerequisites
- Read access to the project directory.
Allowed tools
Read, Grep, Glob only.
Rules
- Python rules —
DAG-OBS-001…DAG-OBS-008 - .NET rules —
DAG-OBS-000(stub; full checklist TBD)
Show final message
The last thing you emit MUST be the report from step 5. ## Next steps should suggest:
What ships with it
1 file 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.
- 12d ago First seen · 51 lines · 54 tokens per session scan A 481ee5c78710
review-agent-observability is a skill published in the GitHub repository diagrid-labs/dapr-skills (12 stars, last pushed 2d ago), licensed MIT. It adds 54 tokens to every session and 662 once invoked, about $0.0003 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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