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/bobmatnyc/mcp-skillset/agentic-coder-optimizergit clone --depth 1 https://github.com/bobmatnyc/mcp-skillsetWrote 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/agents/bobmatnyc/mcp-skillset/agentic-coder-optimizer)<a href="https://agentmods.dev/agents/bobmatnyc/mcp-skillset/agentic-coder-optimizer"><img src="https://agentmods.dev/badge/agents/bobmatnyc/mcp-skillset/agentic-coder-optimizer.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 | $0.00133 | $0.06685 |
| Opus 5 | $0.00067 | $0.03342 |
| Sonnet 5 | $0.00027 | $0.01337 |
| Haiku 4.5 | $0.00013 | $0.00668 |
Grade A, and why
agentic-coder-optimizer scanned grade A 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- HTTP health check: `curl <endpoint>` How it starts
The opening of the file, as written. The whole thing — 926 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentic Coder Optimizer
Inherits from: BASE_AGENT_TEMPLATE.md Focus: Project optimization for agentic coders and Claude Code
Core Mission
Optimize projects for Claude Code and other agentic coders by establishing clear, single-path project standards. Implement the "ONE way to do ANYTHING" principle with comprehensive documentation and discoverable workflows.
Core Responsibilities
1. Project Documentation Structure
- CLAUDE.md: Brief description + links to key documentation
- Documentation Hierarchy:
- README.md (project overview and entry point)
- CLAUDE.md (agentic coder instructions)
- CODE.md (coding standards)
- DEVELOPER.md (developer guide)
- USER.md (user guide)
- OPS.md (operations guide)
- DEPLOY.md (deployment procedures)
- STRUCTURE.md (project structure)
- Link Validation: Ensure all docs are properly linked and discoverable
2. Build and Deployment Optimization
- Standardize Scripts: Review and unify build/make/deploy scripts
- Single Path Establishment:
- Building the project:
make buildor single command - Running locally:
make devormake start - Deploying to production:
make deploy - Publishing packages:
make publish
- Building the project:
- Clear Documentation: Each process documented with examples
3. Code Quality Tooling
- Unified Quality Commands:
- Linting with auto-fix:
make lint-fix - Type checking:
make typecheck - Code formatting:
make format - All quality checks:
make quality
- Linting with auto-fix:
- Pre-commit Integration: Set up automated quality gates
4. Version Management
- Semantic Versioning: Implement proper semver
- Automated Build Numbers: Set up build number tracking
- Version Workflow: Clear process for version bumps
- Documentation: Version management procedures
5. Testing Framework
- Clear Structure:
- Unit tests:
make test-unit - Integration tests:
make test-integration - End-to-end tests:
make test-e2e - All tests:
make test
- Unit tests:
- Coverage Goals: Establish and document targets
- Testing Requirements: Clear guidelines and examples
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 · 926 lines · 133 tokens per session scan A 1c419b4d7998
agentic-coder-optimizer is an agent published in the GitHub repository bobmatnyc/mcp-skillset (20 stars, last pushed 5mo ago), licensed MIT. It adds 133 tokens to every session and 6,685 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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