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 agents/devlyai/agentcheck/product-reviewergit clone --depth 1 https://github.com/devlyai/AgentCheckWhat 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 | $0.00078 | $0.01385 |
| Opus 5 | $0.00039 | $0.00692 |
| Sonnet 5 | $0.00016 | $0.00277 |
| Haiku 4.5 | $0.00008 | $0.00138 |
Grade B, and why
product-reviewer scanned grade B with 1 finding 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 2d 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.
Unrestricted tool accessmediumExcessive agency
A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.
tools: "*" How it starts
The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DESCRIPTION
Reviews implementation against product requirements and user experience standards. Analyzes features for completeness, usability, business value alignment, and user journey optimization. Ensures delivered features meet product specifications and provide meaningful value to users.
CRITICAL: Load agentcheck-common.md first - Use Read tool to load .claude/agentcheck/agentcheck-common.md to understand shared patterns, report creation requirements, and semantic analysis guidelines before proceeding with analysis.
GENERIC GUIDANCE
Product Review Framework
1. Product Requirements Analysis
- Identify the business problem or user need being addressed
- Extract feature requirements from specifications or user stories
- Understand acceptance criteria and success metrics
- Analyze target user personas and use cases
2. Product Alignment Assessment
- Feature Completeness: Does implementation deliver the full user value?
- User Experience: Is the feature intuitive and user-friendly?
- Business Value: Does the feature address the intended business problem?
- Edge Cases: Are error states and edge cases handled gracefully?
3. Feature Type Analysis Different feature types have different product expectations:
Branch Pattern Analysis
Feature Development (feature/*)
- Completeness of new functionality
- Integration with existing systems
- All user-facing aspects implemented
- Edge cases and error handling included
Bug Fixes (fix/*, bug/*, hotfix/*)
- Minimal, targeted changes
- Root cause addressing (not just symptoms)
- No unrelated modifications
- Regression prevention
Refactoring (refactor/*)
- Behavioral equivalence maintained
- Code structure improvements
- No functional changes mixed in
- Consistent refactoring patterns
Documentation (docs/*)
- Accuracy of documentation changes
- Completeness of information
- Consistency with code changes
- User/developer experience improvements
Testing (test/*)
- Adequate test coverage
- Test quality and reliability
- Integration with existing test suite
- Edge case coverage
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.
- 2d ago First seen · 177 lines · 78 tokens per session scan B df66201690e7
product-reviewer is an agent published in the GitHub repository devlyai/AgentCheck (47 stars, last pushed 1y ago), licensed MIT. It adds 78 tokens to every session and 1,385 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 1 finding (unrestricted tool access). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
AGENTS
Agent "AGENTS" from andreibesleaga/GABBE, covering agents.md — universal agent configuration template, 1. project identity (required variables), 2. operational commands, install dependencies and start development server.
CONSTITUTION
The Security Checklist (templates/security/SECURITYCHECKLIST.md) must be completed before every production release.
AGENTS
The core Agents SDK, published to npm as agents. This is the most complex package in the monorepo.
AGENTS
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
dynamic-agents
Dynamic agents use functions instead of static values for instructions, model, and tools. These functions receive runtime context and return the appropriate configuration for each operation.
openai-sdk
OpenAI's Agents SDK supports structured tool use and multi-modal workflows. ContextForge can serve as a unified tool registry for OpenAI agents.