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/primeline-ai/evolving-lite/evolutiongit 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 | $0.00008 | $0.00316 |
| Opus 5 | $0.00004 | $0.00158 |
| Sonnet 5 | $0.00002 | $0.00063 |
| Haiku 4.5 | $0.00001 | $0.00032 |
Grade A, and why
evolution 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
Show the evolution log - what Evolving Lite has learned, archived, and optimized.
Process
- Read evolution log:
${CLAUDE_PLUGIN_ROOT}/_memory/analytics/evolution-log.jsonl - Read session count:
${CLAUDE_PLUGIN_ROOT}/_memory/.session-count - Count experiences: User-created vs pre-warmed
Display
=== Evolving Lite Evolution ===
Sessions: {total}
Current tier: {tier} ({name})
Tier 2 unlocks at: session 3 {if not yet reached}
Tier 3 unlocks at: session 10 {if not yet reached}
Recent changes (last 7 days):
{date} | {type}: {summary}
{date} | {type}: {summary}
...
Experiences: {user_count} learned + {prewarmed_count} pre-warmed
- Last learned: {most recent user experience summary}
- Most accessed: {highest access_count experience}
{If no recent changes}:
No changes in the last 7 days. The system learns from your corrections
automatically - just keep working normally.
If user asks "what have you learned?"
Read experience files from _memory/experiences/ (excluding _prewarmed/) and show:
- Total count
- By type (solution, gotcha, pattern, etc.)
- Most recent 5 with summaries
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 · 43 lines · 8 tokens per session scan A b898b1dc511f
evolution is a command published in the GitHub repository primeline-ai/evolving-lite (48 stars, last pushed 15d ago), licensed MIT. It adds 8 tokens to every session and 316 once invoked, about $0.0000 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.
Other commands, from other repositories
deploy
Command "deploy" from PraveenJayaprakash-JP/repomemory, covering deployment workflow, 1. pre-deploy checks, 2. build verification, 3. environment validation and 4. deployment steps (platform detection).
test
Command "test" from PraveenJayaprakash-JP/repomemory, covering test command, steps, flags, zero test found and examples.
review
Performs a structured code review on unstaged/staged changes (git diff) or a specified file/scope. Runs consistency checks against project conventions (CLAUDE.md) and outputs findings with severity levels.
my_brand
Interactive brand identity creation with archetypes, colors, typography, and voice guidelines. Use when user mentions "brand", "colors", "typography", "brand.md", "design system", or "visual identity".
my_commit
Create a well-formatted commit following project conventions (auto-detects Conventional Commits, Gitmoji, or Simple style).
my_send
Complete pre-commit workflow - runs review, docs, and commit in sequence.