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/darrenhinde/openagentscontrol/code-reviewnpx skills add darrenhinde/OpenAgentsControl --skill code-reviewgit clone --depth 1 https://github.com/darrenhinde/OpenAgentsControlWhat 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 | $0.00028 | $0.01077 |
| Opus 5 | $0.00014 | $0.00539 |
| Sonnet 5 | $0.00006 | $0.00215 |
| Haiku 4.5 | $0.00003 | $0.00108 |
Grade A, and why
code-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 3d 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Review
Overview
Review code for security, correctness, and quality. Runs in isolated code-reviewer context with pre-loaded standards.
Announce at start: "I'm using the code-review skill to validate [files/feature]."
The Process
Step 1: Pre-Load Context (Main Agent)
Load standards BEFORE invoking review:
Read: .opencode/context/core/standards/code-quality.md
Read: .opencode/context/core/standards/security-patterns.md
Step 2: Invoke Review
/code-review path/to/file.ts
/code-review src/auth/*.ts
/code-review $(git diff --name-only HEAD~1)
Step 3: Analyze Report
Code-reviewer returns structured findings:
## Code Review: Auth Service
### 🔴 CRITICAL (Must Fix)
1. **SQL Injection Risk** — src/db/query.ts:42
- Problem: Unparameterized query with user input
- Risk: Database compromise
- Fix:
```diff
- db.query(`SELECT * FROM users WHERE id = ${userId}`)
+ db.query('SELECT * FROM users WHERE id = ?', [userId])
```
### 🟠 HIGH (Correctness)
2. **Missing Error Handling** — src/auth/service.ts:28
- Problem: Async function without try/catch
- Risk: Unhandled promise rejection
- Fix: Wrap in try/catch with proper logging
### 🟡 MEDIUM (Style)
3. **Naming Convention** — src/auth/middleware.ts:15
- Problem: snake_case instead of camelCase
- Fix: Rename verify_token → verifyToken
### Summary
Total Issues: 3 (1 Critical, 1 High, 1 Medium)
Recommendation: REQUEST CHANGES
Step 4: Take Action
If CRITICAL or HIGH issues:
- STOP—do not commit
- Fix issues using suggested diffs
- Re-run
/code-reviewto verify - Proceed only when clean
If only MEDIUM or LOW issues:
- Evaluate whether to fix now or later
- Apply quality improvements
- Safe to commit
If no issues:
- Commit with confidence
- Note positive patterns
Review Checks
🔴 CRITICAL (Security):
- SQL injection, XSS, command injection
- Hardcoded credentials or secrets
- Path traversal, auth bypass
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.
- 3d ago First seen · 163 lines · 28 tokens per session scan A b18350148770
code-review is a skill published in the GitHub repository darrenhinde/OpenAgentsControl (4,815 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 1,077 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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