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-fixnpx skills add DasDigitaleMomentum/opencode-processing-skills --skill review-fixgit 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-fix)<a href="https://agentmods.dev/skills/dasdigitalemomentum/opencode-processing-skills/review-fix"><img src="https://agentmods.dev/badge/skills/dasdigitalemomentum/opencode-processing-skills/review-fix.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 5.1 | $0.00028 | $0.01129 |
| Opus 5 | $0.00014 | $0.00564 |
| Sonnet 5 | $0.00006 | $0.00226 |
| Haiku 4.5 | $0.00003 | $0.00113 |
Grade A, and why
review-fix 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 5d 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Review Fix
This skill is a remediation path after a review. It preserves reviewer context when retained analysis, unresolved assumptions, or cross-file reasoning materially benefits the accepted fix.
The primary SHOULD resume the reviewer that produced the findings using the same task_id when that reasoning remains valuable. Prefer a fresh lean session for a fully specified, self-contained fix or verification when accumulated context cost is disproportionate. Do not decide from session age or file count alone. The reviewer may apply related fixes across several files, call sites, and tests when they remain part of the reviewed objective.
When to Use
Use after:
review-implementation-planidentifies corrections to an implementation plan.review-implementationidentifies code, test, configuration, or integration corrections.
Do not use for:
- Initial review work.
- Plan review corrections; plans remain conversation-owned by the primary. Resume the reviewer for clarification, then update the plan through
update-plan. - A genuinely new objective, changed gated scope, new dependency decision, or user-requested independent perspective.
- An unavailable or deliberately discarded reviewer session, or a self-contained fix better served by a fresh lean context. Use
execute-work-packagefor new runtime work orauthor-and-verify-implementation-planfor new implementation-plan work.
Required Inputs
The continuation prompt SHOULD provide:
- Review artifact path.
- Accepted finding IDs or a clear description of the accepted findings.
- Target type:
implementation-planorimplementation. - Relevant scope or primary decisions. Do not require an exact file allowlist when related call sites or tests need to be discovered.
- A verification command or the expected verification goal. Identify whether a supplied command is broad/full. The reviewer may choose focused targeted tests when none were supplied.
Use tpl-review-fix-prompt.md. Resume the same reviewer task_id only when retained reasoning materially benefits remediation; otherwise use the fresh lean path described above.
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.
- 5d ago First seen · 97 lines · 28 tokens per session scan A 136754f964a7
review-fix is a skill published in the GitHub repository DasDigitaleMomentum/opencode-processing-skills (58 stars, last pushed 26d ago), licensed MIT. It adds 28 tokens to every session and 1,129 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 2026-08-30.
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