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 agentmods add skills/dasdigitalemomentum/opencode-processing-skills/review-implementation-plannpx skills add DasDigitaleMomentum/opencode-processing-skills --skill review-implementation-plangit clone --depth 1 https://github.com/DasDigitaleMomentum/opencode-processing-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/dasdigitalemomentum/opencode-processing-skills/review-implementation-plan)<a href="https://agentmods.dev/skills/dasdigitalemomentum/opencode-processing-skills/review-implementation-plan"><img src="https://agentmods.dev/badge/skills/dasdigitalemomentum/opencode-processing-skills/review-implementation-plan.svg" alt="Measured on agentmods" 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 | $0.00040 | $0.01912 |
| Opus 5 | $0.00020 | $0.00956 |
| Sonnet 5 | $0.00008 | $0.00382 |
| Haiku 4.5 | $0.00004 | $0.00191 |
Grade A, and why
review-implementation-plan 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 4d 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 — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Review Implementation Plan
This skill provides an independent quality gate for implementation plans authored via author-and-verify-implementation-plan.
A reviewer fresh from the authoring context evaluates one implementation plan or an ordered batch against phase scope, existing code, and actionability criteria. Fresh independence does not mean starting a cold reviewer for every phase. Each review remains a per-phase plan artifact.
When to Use
Use this skill when:
- An implementation plan has been authored/verified and you want to validate it before execution.
- Multiple implementation plans have been authored sequentially and should be reviewed together as a dependency-ordered batch.
- You want to confirm that the implementation plan is concrete enough for
execute-work-package. - The user explicitly requests an implementation plan review.
Do not use this skill to:
- Review the plan itself (use
review-plan). - Review a completed implementation (use
review-implementation). - Rewrite the implementation plan during the independent review pass. After review completion, accepted related findings may transition to
review-fixin the same reviewer session.
Review Focus
The default priority is the smallest complete implementation: confirm that phase obligations are covered and no implementation step or new artifact is unauthorized, unnecessary, or needlessly indirect. Use the actual codebase to substantiate material concerns, but record only evidence-backed exceptions. The primary may add a focus via {{focus}}.
Review posture
Detect existing gold-plating without becoming an adversarial reviewer. A reduction finding must name a concrete planned step/artifact and show missing authorization, missing present necessity, or a smaller path in the current codebase that remains complete: the requested behavior must still work, affected real paths must still integrate, and applicable existing invariants must be preserved. Scope discipline is not permission to omit necessary work. Do not invent ideal architecture, hardening, tests, infrastructure, policy, or replacement work. Zero findings remains valid.
What ships with it
2 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.
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.
- 4d ago First seen · 162 lines · 40 tokens per session scan A ef8a9e579400
review-implementation-plan is a skill published in the GitHub repository DasDigitaleMomentum/opencode-processing-skills (59 stars, last pushed 25d ago), licensed MIT. It adds 40 tokens to every session and 1,912 once invoked, about $0.0002 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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