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-needs-assessmentgit 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-needs-assessment)<a href="https://agentmods.dev/skills/tomzx/agents/review-needs-assessment"><img src="https://agentmods.dev/badge/skills/tomzx/agents/review-needs-assessment/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-needs-assessment"><img src="https://agentmods.dev/badge/skills/tomzx/agents/review-needs-assessment.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 | $0.00026 | $0.01018 |
| Opus 5.5 | $0.00010 | $0.00407 |
| Sonnet 5.5 | $0.00005 | $0.00204 |
| Haiku 4.5 | $0.00003 | $0.00102 |
Grade A, and why
review-needs-assessment scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 22d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Needs Assessment
Audits a needs assessment and reports findings across four categories: evidence rigor, stakeholder coverage, alternative-path completeness, and verdict soundness.
Prerequisites
- Apply the shared SDLC conventions in
skills/sdlc/references/shared.md. - If no argument is provided, locate the feature directory under
.sdlc/features/whose frontmatterissuefield references$ISSUE_NUMBER. .sdlc/features/N-<slug>/needs-assessment.md, or a needs assessment document provided in context or as a file path
Steps
- Read the needs assessment document from
.sdlc/features/N-<slug>/needs-assessment.mdif present, otherwise from context or as a file path. - Identify issues in each of the four categories below.
- Report findings using the output format. Omit any category that has no findings.
- Write the findings to
.sdlc/features/N-<slug>/review-needs-assessment.mdwith frontmatterartifact: needs-assessment,verdict(approvedif the overall verdict is Needed or Nice-to-have,rejectedif Not needed,changes-requestedif the author must address findings), andreviewed_at: <ISO date>, and the findings as the body, perskills/sdlc/references/shared.md. Record any unresolved open questions in the findings body.- If the overall verdict is Not needed: also update the GitHub issue with the findings and stop the pipeline.
Review Checklist
Evidence Rigor
- Is the problem stated as a problem (not a solution)?
- Is evidence drawn from concrete sources (tickets, data, feedback) or is it purely assumed?
- If evidence is Weak or None, is this explicitly flagged as an open question?
- Are there evidence sources that were not checked but should have been (support logs, analytics, user interviews)?
Stakeholder Coverage
- Are all affected stakeholder groups identified, not just those who speak the loudest?
- Is it clear who benefits and who is inconvenienced by the current state?
- Are edge-case stakeholders (admin, internal tools, accessibility) considered?
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.
- 22d ago Changed · +2 lines 330349278f24
- 23d ago Changed · -4 lines a99b25c93abe
- 24d ago Changed 6273489a64db
- 1mo ago First seen · 103 lines · 26 tokens per session scan A b47830b913d7
review-needs-assessment is a skill published in the GitHub repository tomzx/agents (13 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 1,018 once invoked, about $0.0001 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 2026-09-03.
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