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/tranhieutt/software_development_department/code-reviewnpx skills add tranhieutt/software_development_department --skill code-reviewgit clone --depth 1 https://github.com/tranhieutt/software_development_departmentWrote 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/tranhieutt/software_development_department/code-review)<a href="https://agentmods.dev/skills/tranhieutt/software_development_department/code-review"><img src="https://agentmods.dev/badge/skills/tranhieutt/software_development_department/code-review.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 | $0.00051 | $0.01032 |
| Opus 5 | $0.00026 | $0.00516 |
| Sonnet 5 | $0.00010 | $0.00206 |
| Haiku 4.5 | $0.00005 | $0.00103 |
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 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When this skill is invoked:
-
Read the target file(s) in full.
-
Read the CLAUDE.md for project coding standards.
-
Identify the system category (api, service, repository, component, utility, infrastructure) and apply category-specific standards.
-
Evaluate against coding standards:
- Public methods and classes have doc comments
- Cyclomatic complexity under 10 per method
- No method exceeds 40 lines (excluding data declarations)
- Dependencies are injected (no singletons for business state)
- Configuration values loaded from external config, not hardcoded
- Systems expose interfaces (not concrete class dependencies)
-
Check architectural compliance:
- Correct dependency direction (infrastructure ← domain ← application)
- No circular dependencies between modules
- Proper layer separation (UI does not own business logic)
- Events/messages used for cross-service communication
- Consistent with established patterns in the codebase
- Interfaces are earning their complexity: prefer deep modules over thin pass-through wrappers
- Suspected abstractions survive the deletion test: deleting them would reintroduce complexity across callers, not simplify the system
-
Check SOLID compliance:
- Single Responsibility: Each class has one reason to change
- Open/Closed: Extendable without modification
- Liskov Substitution: Subtypes substitutable for base types
- Interface Segregation: No fat interfaces
- Dependency Inversion: Depends on abstractions, not concretions
-
Check for common web/software issues:
- No N+1 query patterns (use eager loading or joins)
- Proper async/await usage (no unhandled promises, no floating async)
- Input validation at system boundaries (user input, external APIs)
- Proper error handling with meaningful, safe messages (no stack traces exposed)
- No secrets or sensitive data hardcoded (API keys, passwords, tokens)
- Resource cleanup (DB connections, streams, subscriptions, event listeners)
- Thread/concurrency safety where required
-
Output the review in this format:
## Code Review: [File/System Name]
### Standards Compliance: [X/6 passing]
[List failures with line references]
### Architecture: [CLEAN / MINOR ISSUES / VIOLATIONS FOUND]
[List specific architectural concerns]
### SOLID: [COMPLIANT / ISSUES FOUND]
[List specific violations]
### Web/Software Concerns
[List web and software-specific issues found]
### Positive Observations
[What is done well — always include this section]
### Required Changes
[Must-fix items before approval]
### Suggestions
[Nice-to-have improvements]
### Verdict: [APPROVED / APPROVED WITH SUGGESTIONS / CHANGES REQUIRED]
Protocol
Architecture vocabulary to use when it helps clarify a finding:
- Module — unit with an interface and implementation
- Deep module — small interface, high leverage behind it
- Shallow module — interface nearly as complex as implementation
- Deletion test — if deleting a wrapper mostly removes indirection instead of reintroducing complexity in callers, the abstraction may be shallow
Use this vocabulary to sharpen architectural findings, not to force jargon into every review.
- Question: Auto-starts from argument (file or directory path); no clarification needed
- Options: Skip — single review path
- Decision: Skip — verdict is advisory
- Draft: Full review shown in conversation only
- Approval: Skip — read-only; no files written
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 · 113 lines · 51 tokens per session scan A 6cf641af2a6a
code-review is a skill published in the GitHub repository tranhieutt/software_development_department (71 stars, last pushed 3mo ago), licensed MIT. It adds 51 tokens to every session and 1,032 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 2026-08-30.
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