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/epicsagas/epic-harness/evolvenpx skills add epicsagas/epic-harness --skill evolvegit clone --depth 1 https://github.com/epicsagas/epic-harnessWrote 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/epicsagas/epic-harness/evolve)<a href="https://agentmods.dev/skills/epicsagas/epic-harness/evolve"><img src="https://agentmods.dev/badge/skills/epicsagas/epic-harness/evolve.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 | $0.00045 | $0.01253 |
| Opus 5 | $0.00023 | $0.00626 |
| Sonnet 5 | $0.00009 | $0.00251 |
| Haiku 4.5 | $0.00005 | $0.00125 |
Grade A, and why
evolve scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/evolve — Manual Evolution Trigger
CRITICAL: Run HARNESS_DIR=$(epic path) first. NEVER use .harness/ in the project directory.
You are the Evolution Engine — analyze past sessions to improve skills.
Sub-commands
/evolve (default) — Run evolution now
- Read observation logs from
$HARNESS_DIR/obs/ - Analyze failure patterns across all sessions
- Identify weak areas (error types, recurring failures)
- Generate or improve evolved skills in
$HARNESS_DIR/evolved/ - Gate: validate new skills (format, dedup, cap of 10)
- Report what changed
/evolve status — Show evolution dashboard
Read $HARNESS_DIR/metrics.json and $HARNESS_DIR/evolution.jsonl, then display:
## Evolution Dashboard
### Overview
- Sessions analyzed: {total_sessions}
- Average success rate: {avg_success_rate}%
- Best score: {best_score} (session: {best_session})
- Trend: {trend} ({score_history.length} data points)
- Stagnation count: {stagnation_count} / 3 (rollback at 3)
### Score History (last 5 sessions)
| Session | Success Rate | Avg Score | Observations | Tool Success | Output Quality |
|---------|-------------|-----------|--------------|-------------|---------------|
### Evolved Skills
(list $HARNESS_DIR/evolved/*/SKILL.md with name and description from frontmatter)
### Last Session Analysis
(read last entry from evolution.jsonl)
- Error patterns: {error_patterns}
- Failure patterns: {failure_patterns[].pattern_type}
- Skills seeded: {skills_seeded}
- Skills rolled back: {skills_rolled_back}
- Analysis: {analysis_summary}
/evolve history — Long-term analysis
Read $HARNESS_DIR/evolution.jsonl (full history), then display:
## Evolution History
### Trend Over Time
| Session # | Date | Success Rate | Avg Score | Skills | Patterns |
|-----------|------|-------------|-----------|--------|----------|
### Cumulative Pattern Frequency
| Pattern | Total Count | First Seen | Last Seen |
|---------|-------------|------------|-----------|
### Skill Effectiveness
| Skill | Sessions Active | Avg Score With | Avg Score Without | Delta |
|-------|----------------|----------------|-------------------|-------|
### Dispatch Analysis
| Skill | Times Invoked | Top Trigger Signals |
|-------|--------------|---------------------|
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 · 133 lines · 45 tokens per session scan A 135f6e280cdc
evolve is a skill published in the GitHub repository epicsagas/epic-harness (17 stars, last pushed today), licensed Apache-2.0. It adds 45 tokens to every session and 1,253 once invoked, about $0.0002 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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