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 skills add MiaoDX/intuitive-flow --skill intuitive-reduce-entropygit clone --depth 1 https://github.com/MiaoDX/intuitive-flowWrote 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/miaodx/intuitive-flow/intuitive-reduce-entropy)<a href="https://agentmods.dev/skills/miaodx/intuitive-flow/intuitive-reduce-entropy"><img src="https://agentmods.dev/badge/skills/miaodx/intuitive-flow/intuitive-reduce-entropy/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/miaodx/intuitive-flow/intuitive-reduce-entropy"><img src="https://agentmods.dev/badge/skills/miaodx/intuitive-flow/intuitive-reduce-entropy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00024 | $0.00997 |
| Opus 5.5 | $0.00010 | $0.00399 |
| Sonnet 5.5 | $0.00005 | $0.00199 |
| Haiku 4.5 | $0.00002 | $0.00100 |
Grade A, and why
intuitive-reduce-entropy 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.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Intuitive Reduce Entropy
Use this skill to find a bounded set of changes that remove real maintainer or execution friction. Prefer deletion, reuse, and one canonical owner over new workflow, code, test, or documentation surfaces.
Modes
| Mode | Use when | Output | Redirect when |
|---|---|---|---|
| Repo entropy | The repo feels messy, stale, hard to navigate, or has no known cleanup owner. | Ranked maintenance candidates and specialist owners. | A concrete seam is already selected; use its specialist or $intuitive-refactor. |
| Plan entropy | An idea, draft plan, or preflight needs missing decisions, weak assumptions, scope leaks, or proof gaps found. | Ranked plan risks and the next planning owner. | The contract is already approved; use $intuitive-flow. |
| Discovery loop | The user asks to continue until meaningful cleanup saturates. | Fresh bounded rounds with deduplicated clear, parked, and rejected items. | A selected queue is ready for $intuitive-refactor. |
Pick the mode and discovery intensity (quick scan, selection scan, or saturation scan) and name them in the packet, with a redirect only when another mode or skill fits better.
Read First
Load only the reference needed for the active pass:
| Need | Read |
|---|---|
| Mode selection, discovery-loop behavior, plan-ledger boundaries | Discovery modes |
| High-noise summaries, materiality gate, no-change threshold | High noise and materiality |
| Ranking, architecture review, delegation, specialist routing | Ranking and routing |
| Candidate packet, user decision gates, handoff and final shapes | Handoff and reporting |
For broad repo scans, read the repo's thin orientation surface and run the bundled high-noise summary before searching planning archives, logs, generated trees, or other high-noise roots. Deep-read only enough to prove a candidate.
What ships with it
9 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.
- references/discovery-modes.md 10 KB
- references/handoff-and-reporting.md 6.7 KB
- references/high-noise-and-materiality.md 11 KB
- references/ranking-and-routing.md 15 KB
- scripts/bounded-command-summary.mjs 6.6 KB runs code
- scripts/high-noise-summary.mjs 6.7 KB runs code
- scripts/high-noise-summary.test.ts 6.0 KB runs code
- scripts/materiality-gate.mjs 9.2 KB runs code
- scripts/materiality-gate.test.ts 7.0 KB runs code
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 Changed · -16 lines b801f5cfd33b
- 1mo ago Changed 3c1a5e076890
- 1mo ago Changed · -5 lines · -39 tokens per session cc83d958c047
- 1mo ago Changed · +2 lines a1fb4c6c4192
- 1mo ago First seen · 110 lines · 63 tokens per session scan A 100ab7bf41cb
intuitive-reduce-entropy is a skill published in the GitHub repository MiaoDX/intuitive-flow (48 stars, last pushed 16d ago), licensed MIT. It adds 24 tokens to every session and 997 once invoked, about $0.0001 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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