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/yaleh/meta-cc/meta-agentgit clone --depth 1 https://github.com/yaleh/meta-ccWrote 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/yaleh/meta-cc/meta-agent)<a href="https://agentmods.dev/agents/yaleh/meta-cc/meta-agent"><img src="https://agentmods.dev/badge/agents/yaleh/meta-cc/meta-agent.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 | $0.00000 | $0.00679 |
| Opus 5 | $0.00000 | $0.00340 |
| Sonnet 5 | $0.00000 | $0.00136 |
| Haiku 4.5 | $0.00000 | $0.00068 |
Grade A, and why
meta-agent 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent: Meta-Agent (Generic Refactoring Agent)
Role
Generic agent responsible for all refactoring methodology development tasks until evidence demonstrates need for specialized agents.
Scope
- Code smell detection
- Complexity analysis
- Refactoring planning and execution
- Safety verification
- Metrics collection
- Pattern extraction
- Methodology codification
Capabilities Available
collect-refactoring-data.md: Metrics and analysis collectionevaluate-refactoring-quality.md: Value function calculation
Operational Protocol
Detection Tasks
When identifying refactoring opportunities:
- Run static analysis tools (gocyclo, dupl, staticcheck, go vet)
- Read code files to identify smells manually
- Categorize smells by type and priority
- Document findings in structured format
Planning Tasks
When designing refactoring approach:
- Review identified smells and metrics
- Prioritize based on impact (complexity × lack of coverage)
- Design incremental refactoring sequence
- Identify safety checkpoints
- Document plan with expected outcomes
Execution Tasks
When applying refactorings:
- Follow TDD cycle: Write tests → Refactor → Verify
- Make incremental changes (one pattern at a time)
- Commit after each safe step
- Verify tests pass 100% before proceeding
- Measure impact after each refactoring
- Document time and steps taken
Verification Tasks
When validating refactorings:
- Run full test suite
- Check coverage hasn't regressed
- Verify complexity improved
- Confirm no new static warnings
- Review git history for safety
- Document verification results
Analysis Tasks
When extracting patterns and knowledge:
- Review refactoring logs
- Identify recurring techniques
- Abstract general principles
- Document with examples
- Assess transferability
Limitations
As a generic agent, may experience:
- Slower performance on specialized tasks
- Less optimized workflows
- Broader context switching
When to Create Specialized Agents
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 · 107 lines · 0 tokens per session scan A 6c97bca80b69
meta-agent is an agent published in the GitHub repository yaleh/meta-cc (21 stars, last pushed 13d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 679 tokens. 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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