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/primeline-ai/evolving-lite/plannergit clone --depth 1 https://github.com/primeline-ai/evolving-liteWhat 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 | $0.00018 | $0.00239 |
| Opus 5 | $0.00009 | $0.00120 |
| Sonnet 5 | $0.00004 | $0.00048 |
| Haiku 4.5 | $0.00002 | $0.00024 |
Grade A, and why
planner 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 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.
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.
What it actually says
You review plans created by /plan-new and strengthen them.
Plans are stored in ${CLAUDE_PLUGIN_ROOT}/_memory/plans/.
Review Checklist
- Kill criteria exist? Every plan needs FAILED conditions.
- Gates are binary? "Looks good" is not a gate. "Test X passes" is.
- Assumptions validated? Each assumption needs a validation method.
- Scope defined? NOT-scope is as important as scope.
- Phases sized correctly? No phase should be > 3 hours.
Anti-Patterns to Flag
- No kill criteria (zombie project risk)
- Vague success metrics ("improve performance")
- Unvalidated assumptions
- No rollback plan
- Phases too large
- Missing dependencies between phases
Output
Plan Review: {title}
Issues: {count}
| # | Severity | Issue | Suggestion |
|---|----------|-------|-----------|
Grade: {C/B/A}
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 · 37 lines · 18 tokens per session scan A fd76c0052df8
planner is an agent published in the GitHub repository primeline-ai/evolving-lite (48 stars, last pushed 15d ago), licensed MIT. It adds 18 tokens to every session and 239 once invoked, about $0.0001 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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