Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/mickeyyaya/evolve-loopnpx agentmods add skills/mickeyyaya/evolve-loop/inspirerWrote 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/mickeyyaya/evolve-loop/inspirer)<a href="https://agentmods.dev/skills/mickeyyaya/evolve-loop/inspirer"><img src="https://agentmods.dev/badge/skills/mickeyyaya/evolve-loop/inspirer/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/skills/mickeyyaya/evolve-loop/inspirer"><img src="https://agentmods.dev/badge/skills/mickeyyaya/evolve-loop/inspirer.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 | $0.00046 | $0.03416 |
| Opus 5 | $0.00023 | $0.01708 |
| Sonnet 5 | $0.00009 | $0.00683 |
| Haiku 4.5 | $0.00005 | $0.00342 |
Grade A, and why
inspirer 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 7d 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 — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Think outside the box, backed by evidence. 12 provocation lenses, web-grounded research, scored and filtered recommendations.
Contents
- Quick Start
- Architecture
- Stage 1: FRAME
- Stage 2: DIVERGE
- Stage 3: RESEARCH
- Stage 4: SCORE
- Stage 5: CONVERGE
- Stage 6: DELIVER
- Depth Control
- Evolve-Loop Integration
- Output Schema
- Reference
Quick Start
# Basic — think creatively about a topic
/evo:inspirer "How should we handle real-time sync in a serverless app?"
# Control depth (QUICK = fast ideation, DEEP = thorough exploration)
/evo:inspirer "What features increase user retention?" --depth DEEP
# Specify number of lenses (default: 4 for STANDARD)
/evo:inspirer "Multi-agent coordination patterns" --lenses 5
# Output for evolve-loop consumption
/evo:inspirer "Improve eval infrastructure" --format evolve --depth QUICK
Parse arguments:
- First quoted string or remaining text →
topic --depth QUICK|STANDARD|DEEP→ research depth (default:STANDARD)--lenses N→ number of provocation lenses (default: per depth level)--format full|brief|evolve→ output format (default:full)
Architecture
Six-stage pipeline: FRAME → DIVERGE → RESEARCH → SCORE → CONVERGE → DELIVER
Input: User's topic/question
│
┌────▼────┐
│ FRAME │ Parse topic, classify domain, detect constraints
└────┬────┘
│
┌────▼─────┐
│ DIVERGE │ Apply 3-5 provocation lenses → divergent questions
└────┬─────┘
│ 1-2 research questions per lens
┌────▼─────┐
│ RESEARCH │ Web search each question (Smart or Default routing)
└────┬─────┘
│ Research findings with sources
┌────▼────┐
│ SCORE │ Create Inspiration Cards, score feasibility × impact × novelty
└────┬────┘
│ Scored cards with KEEP/DROP verdicts
┌────▼─────┐
│ CONVERGE │ Rank by composite, diversity filter, select top 5-8
└────┬─────┘
│
┌────▼─────┐
│ DELIVER │ Output as Inspiration Report / brief table / evolve JSON
└──────────┘
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago First seen · 346 lines · 46 tokens per session scan A 3edcf6f12aaf
inspirer is a skill published in the GitHub repository mickeyyaya/evolve-loop (5 stars, last pushed today), licensed Apache-2.0. It adds 46 tokens to every session and 3,416 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 2026-09-03.
Other skills, from other repositories
a11y-audit
Dedicated WCAG 2.2 AA/AAA accessibility audit across 10 dimensions (A1-A10) covering semantic HTML, keyboard navigation, ARIA patterns, color contrast, forms, images/media, responsive/zoom, motion/animation, reading/content, and legal compliance. Goes far beyond surface-level design-review checks with deep…
presentation
Generate PowerPoint (PPTX) presentations from a topic, outline, or content file. Creates professional slides using python-pptx with consistent theming and typography. Modes: [topic] (from scratch), from [file] (from markdown), --slides N, --theme dark|light|corporate, --outline-only, --out [path], --lang [code].
new-skill
Scaffold a new brooks-lint analysis skill so it passes npm run validate and npm run evals on the first try — generates skills/{name}/SKILL.md (with the mandatory "Do NOT trigger for:" clause and a Process section citing guide step ranges) plus skills/{name}/{name}-guide.md (sequentially numbered steps), then appends…
youtube-producer
Plans, packages, and scripts long-form video for retention and channel growth — idea selection, titles and thumbnails, script structure, and diagnosing why a video or channel underperforms. Use this for video ideas, packaging, scripting, a retention teardown, or channel strategy — including when someone describes a…
ops-ar
OPS on-demand: This skill should be used when the user asks to "A&R this track", "demo verdict", or…
s4h-narrative-tension-mapping
Finds or creates the tension that makes communication worth paying attention to. Use when asked 'this feels flat', 'no one's engaging', 'make this compelling', 'find the tension', 'what's the story here', or 'add stakes'.