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 commands/thelobbi/claude/evolve-agentsgit clone --depth 1 https://github.com/TheLobbi/claudeWrote 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/commands/thelobbi/claude/evolve-agents)<a href="https://agentmods.dev/commands/thelobbi/claude/evolve-agents"><img src="https://agentmods.dev/badge/commands/thelobbi/claude/evolve-agents.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 | $0.03088 |
| Opus 5 | $0.00000 | $0.01544 |
| Sonnet 5 | $0.00000 | $0.00618 |
| Haiku 4.5 | $0.00000 | $0.00309 |
Grade B, and why
evolve-agents 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 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.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
Display prompt version history for an agent: How it starts
The opening of the file, as written. The whole thing — 495 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Evolve Agents - Agent Self-Improvement Analysis
Analyze agent performance, identify capability gaps, and propose improvements using the Evolution System.
Usage
# Analyze all agents
.claude/commands/evolve-agents.md analyze
# Analyze specific agent
.claude/commands/evolve-agents.md analyze --agent-id=coder-agent
# Generate weekly evolution report
.claude/commands/evolve-agents.md report --period=weekly
# Check thresholds and recommend updates
.claude/commands/evolve-agents.md check-thresholds
# View capability gaps
.claude/commands/evolve-agents.md gaps
# View skill suggestions
.claude/commands/evolve-agents.md suggestions
# View prompt history
.claude/commands/evolve-agents.md prompt-history --agent-id=coder-agent
# Evolve agent prompts
.claude/commands/evolve-agents.md evolve --agent-id=coder-agent
# Run A/B test on prompts
.claude/commands/evolve-agents.md ab-test --agent-id=coder-agent
Command Actions
1. analyze - Comprehensive Agent Analysis
Analyze agent performance metrics including:
- Success rate over time
- Average task duration
- Token efficiency (success per 1000 tokens)
- User feedback ratings
- Performance trends (improving, stable, declining)
Output:
- Performance summary table
- Trend analysis
- Comparison with previous periods
- Recommendations for improvement
Example Output:
Agent Performance Analysis
========================
Agent: coder-agent
------------------
Success Rate: 87.5% (↑ 5.2% vs last week)
Avg Duration: 45.3s (↓ 8.1s vs last week)
Token Efficiency: 0.72 (↑ 0.08 vs last week)
User Rating: 4.2/5.0
Performance Trend: IMPROVING
Tasks Completed: 120
Failures: 15
Retries: 8
Top Error Types:
1. timeout (5 occurrences)
2. validation_error (4 occurrences)
3. tool_limitation (3 occurrences)
2. report - Generate Evolution Report
Generate a comprehensive evolution report for the specified period:
- Overall system performance
- Per-agent performance summaries
- Identified capability gaps
- Skill suggestions
- Prompt updates
- Improvements deployed
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 · 495 lines · 0 tokens per session scan B ab2759c66241
evolve-agents is a command published in the GitHub repository TheLobbi/claude (21 stars, last pushed 6d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,088 tokens. A static security scan graded it B with 1 finding (asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
git
Git operations with intelligent commit messages and workflow optimization.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.