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 tomzx/agents --skill review-telemetrygit clone --depth 1 https://github.com/tomzx/agentsWrote 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/tomzx/agents/review-telemetry)<a href="https://agentmods.dev/skills/tomzx/agents/review-telemetry"><img src="https://agentmods.dev/badge/skills/tomzx/agents/review-telemetry/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/tomzx/agents/review-telemetry"><img src="https://agentmods.dev/badge/skills/tomzx/agents/review-telemetry.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 | $0.00025 | $0.01076 |
| Opus 5 | $0.00013 | $0.00538 |
| Sonnet 5 | $0.00005 | $0.00215 |
| Haiku 4.5 | $0.00003 | $0.00108 |
Grade A, and why
review-telemetry scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Telemetry
Audits a telemetry plan for completeness, actionability, measurability, and consistency with the specification and requirements.
Prerequisites
- Apply the shared SDLC conventions in
skills/sdlc/references/shared.md. - If no argument is provided, locate the feature directory under
.sdlc/features/whose frontmatterissuefield references$ISSUE_NUMBER. .sdlc/features/N-<slug>/telemetry.md, or a telemetry document provided in context or as a file path.sdlc/features/N-<slug>/specification.md(for cross-referencing).sdlc/features/N-<slug>/requirements.md(optional, for cross-referencing acceptance criteria)
Steps
- Read the telemetry document from
.sdlc/features/N-<slug>/telemetry.mdif present, otherwise from context or as a file path. - Cross-reference against the specification and requirements.
- Identify issues in each of the five categories below.
- Report findings. Omit any category that has no findings.
- Write the findings to
.sdlc/features/N-<slug>/review-telemetry.mdwith frontmatterartifact: telemetry,verdict(approvedif there are no blocking findings,changes-requestedif the author must address findings,rejectedfor a fundamental flaw), andreviewed_at: <ISO date>, and the findings as the body, perskills/sdlc/references/shared.md. Record any unresolved open questions in the findings body.
Review Checklist
Completeness
- Does every key user flow from the specification have corresponding events?
- Does every functional requirement with user-facing behavior have at least one event or metric?
- Is every funnel rendered as a Mermaid
flowchart TDwith one node per step, and are the steps complete (no gaps between entry and desired outcome, no unreachable nodes)? - Are counter metrics defined for features that could cause harm or degrade experience?
Measurability
- Is every success metric tied to a concrete number, ratio, or threshold (not subjective)?
- Is the measurement method specified (how the metric is computed)?
- Are timeframes specified for each success metric?
- Can each event be reliably emitted from the identified location in the codebase?
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.
- 7d ago First seen · 116 lines · 25 tokens per session scan A f1b34c36cc7c
review-telemetry is a skill published in the GitHub repository tomzx/agents (6 stars, last pushed yesterday), licensed MIT. It adds 25 tokens to every session and 1,076 once invoked, about $0.0001 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 2026-09-03.
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