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 alieismy/codex-three-layer-delivery --skill rd-reviewgit clone --depth 1 https://github.com/alieismy/codex-three-layer-deliveryWrote 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/alieismy/codex-three-layer-delivery/rd-review)<a href="https://agentmods.dev/skills/alieismy/codex-three-layer-delivery/rd-review"><img src="https://agentmods.dev/badge/skills/alieismy/codex-three-layer-delivery/rd-review/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/alieismy/codex-three-layer-delivery/rd-review"><img src="https://agentmods.dev/badge/skills/alieismy/codex-three-layer-delivery/rd-review.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 | $0.00068 | $0.01493 |
| Opus 5 | $0.00034 | $0.00746 |
| Sonnet 5 | $0.00014 | $0.00299 |
| Haiku 4.5 | $0.00007 | $0.00149 |
Grade A, and why
rd-review 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 10d 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
rd-review
Perform an independent, evidence-based review with severity-graded findings, actionable remediation, and a defensible verdict.
Deliverables
- Findings-first review report
- Verdict and explicit conditions for approval, publication, or re-review
- Optional clause-, claim-, or section-level revision table
- Evidence gaps, unresolved risks, and verification actions
Select One Review Mode
Read only the reference for the selected target:
| Mode | Target | Reference |
|---|---|---|
| Requirements | PRD / SRS / requirements | requirements-review.md |
| Feasibility | Feasibility study / analysis | feasibility-review.md |
| Research | research report / open-source, product, or AI-tool evaluation | research-review.md |
| Proposal | technical proposal / high-level design / construction plan | proposal-review.md |
| Design | detailed design | design-review.md |
| Standards | standard / specification / guideline / normative clauses | standards-review.md |
| Article | technical article / white paper / public-affairs article / fact-check | article-review.md |
If the target spans modes, identify the primary mode and load one additional reference only for a material secondary section.
Common Review Framework
1. Pin the Review Basis
- Identify the exact target, version, scope, audience, intended decision, and review authority
- Read applicable upstream requirements, decisions, source material, templates, standards, and review policy
- Distinguish a content review from copyediting, fact-checking, compliance checking, and design approval
- Resolve discoverable facts from the materials; ask only for missing authority or intent that blocks the verdict
- Preserve approved intent and separate bounded remediation from redesign or ghostwriting
What ships with it
10 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.
- agents/openai.yaml 253 B
- evals/evals.json 2.6 KB
- evals/trigger-evals.json 1.1 KB
- references/article-review.md 1.5 KB
- references/design-review.md 981 B
- references/feasibility-review.md 854 B
- references/proposal-review.md 924 B
- references/requirements-review.md 953 B
- references/research-review.md 1.1 KB
- references/standards-review.md 978 B
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.
- 10d ago First seen · 120 lines · 68 tokens per session scan A 73ce461d007b
rd-review is a skill published in the GitHub repository alieismy/codex-three-layer-delivery (2 stars, last pushed 3d ago), licensed MIT. It adds 68 tokens to every session and 1,493 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 2026-08-31.
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