Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add geledek/enterprise-ai-transformation-skills/plugin install enterprise-ai-transformation-skillsWrote 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/geledek/enterprise-ai-transformation-skills/general-idea-diagnostic)<a href="https://agentmods.dev/skills/geledek/enterprise-ai-transformation-skills/general-idea-diagnostic"><img src="https://agentmods.dev/badge/skills/geledek/enterprise-ai-transformation-skills/general-idea-diagnostic/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/geledek/enterprise-ai-transformation-skills/general-idea-diagnostic"><img src="https://agentmods.dev/badge/skills/geledek/enterprise-ai-transformation-skills/general-idea-diagnostic.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 | $0.00134 | $0.01737 |
| Opus 5 | $0.00067 | $0.00869 |
| Sonnet 5 | $0.00027 | $0.00347 |
| Haiku 4.5 | $0.00013 | $0.00174 |
Grade A, and why
general-idea-diagnostic 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 12d 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
General — AI Idea Diagnostic
Diagnose an AI idea at concept stage — before pilot design, before investment, before any build decision. Five sequential roles. Maintain all prior reasoning as state — each role builds on the previous.
Verdict vocabulary (stable output contract): Fund / Fund-with-condition / Reframe / Kill, plus solution mode Replace / Augment / Create. This gates the concept; the funding decision comes later — use general-roi-gate for investment approval.
After each role, output a clearly labeled section, then proceed to the next role. Do not stop until all five are complete.
Role 1: Investigator (Q1 — Real Friction?)
NAME WHO FEELS THE PAIN. Who specifically experiences the problem? What does it cost them — in time, money, quality, or risk?
CLASSIFY THE STARTING POINT.
- Friction-first: "Our customers / teams struggle with [specific thing]"
- Tech-first: "We should use AI for [task]"
State which — and quote the language that signals it.
FRICTION STATEMENT. If friction-first: state the pain in one sentence. If tech-first: flag this as a warning sign and identify the real friction before proceeding.
Output: WHO FEELS THE PAIN | WHAT IT COSTS | FRICTION-FIRST OR TECH-FIRST | PAIN STATEMENT
Role 2: Devil's Advocate (Q2 — Right Solution Mode?)
Your job is to find where this breaks, not where it succeeds. If Role 1 classified this as tech-first, apply extra scrutiny below — a solution hunting for friction fails the reliability test more often than one born from a named pain.
RELIABILITY TEST. "Would I be comfortable if this output reached the end consequence — the customer, the regulator, the judge — without human review?" Yes or no. Name the consequence of an error.
OPERATIONAL-MODE CHECK. Strip out the human-in-loop language from the pitch. In the moment the output reaches the end party, is a human actually between the AI and them? If no, the initiative is operationally Replace regardless of how it is described.
What ships with it
7 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.
- 12d ago First seen · 138 lines · 134 tokens per session scan A 5cd4a237c95f
general-idea-diagnostic is a skill published in the GitHub repository geledek/enterprise-ai-transformation-skills (9 stars, last pushed 2mo ago), licensed MIT. It adds 134 tokens to every session and 1,737 once invoked, about $0.0007 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 2026-08-31.
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extract
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