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.
git clone --depth 1 https://github.com/primeline-ai/evolving-liteWrote 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/primeline-ai/evolving-lite/think)<a href="https://agentmods.dev/commands/primeline-ai/evolving-lite/think"><img src="https://agentmods.dev/badge/commands/primeline-ai/evolving-lite/think/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/primeline-ai/evolving-lite/think"><img src="https://agentmods.dev/badge/commands/primeline-ai/evolving-lite/think.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00007 | $0.00259 |
| Opus 5.5 | $0.00003 | $0.00104 |
| Sonnet 5.5 | $0.00001 | $0.00052 |
| Haiku 4.5 | $0.00001 | $0.00026 |
Grade A, and why
think 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 1mo 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
Apply structured thinking frameworks to break down complex problems.
Input: $ARGUMENTS
If empty: "What problem or decision should I think through?"
Available Frameworks
80/20 (Pareto)
What 20% of the effort delivers 80% of the value?
First Principles
Strip away assumptions. What is fundamentally true? Build up from there.
Inversion
Instead of "how to succeed", ask "how could this fail?" Then avoid those failures.
SWOT
Strengths, Weaknesses, Opportunities, Threats - in context of the specific problem.
Pre-Mortem
Imagine it's 6 months later and this failed. What went wrong? Work backwards.
Decision Matrix
List options, list criteria, score each option against each criterion.
Process
- Auto-detect the best framework (or let user choose)
- Apply the framework step by step
- Present the insight clearly
- End with a concrete recommendation
Output
Framework: {which one}
Key insight: {the one thing that changes your thinking}
Recommendation: {what to do}
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.
- 1mo ago First seen · 46 lines · 7 tokens per session scan A 21479c4667c3
think is a command published in the GitHub repository primeline-ai/evolving-lite (49 stars, last pushed 14d ago), licensed MIT. It adds 7 tokens to every session and 259 once invoked, about $0.0000 per session on Opus 5.5. 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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