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 adimango/ai-adoption-playbook --skill board-narrative-coachgit clone --depth 1 https://github.com/adimango/ai-adoption-playbookWrote 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/adimango/ai-adoption-playbook/board-narrative-coach)<a href="https://agentmods.dev/skills/adimango/ai-adoption-playbook/board-narrative-coach"><img src="https://agentmods.dev/badge/skills/adimango/ai-adoption-playbook/board-narrative-coach/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/adimango/ai-adoption-playbook/board-narrative-coach"><img src="https://agentmods.dev/badge/skills/adimango/ai-adoption-playbook/board-narrative-coach.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 | $0.00039 | $0.02626 |
| Opus 5 | $0.00019 | $0.01313 |
| Sonnet 5 | $0.00008 | $0.00525 |
| Haiku 4.5 | $0.00004 | $0.00263 |
Grade A, and why
board-narrative-coach 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 4d 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 — 246 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Board Narrative Coach
Purpose
Two-phase skill: first, roleplay as a skeptical board member to stress-test the founder's AI story. Second, draft a board-ready narrative using what survived the pressure test. The founder walks away with a rehearsed story and a polished update.
Core principle: If you can't defend it to a skeptical VC, don't put it in the board update. Rehearse first, draft second.
Important: This skill helps leaders calculate and present their own numbers — it does not audit or guarantee them. Figures going to a board, CFO, or investor should be validated by the company's finance owner first.
Context Intake
For Department: and Currency:, use the first available source: the current fluency scorecard → adoption.local.md (the department this run covers; by default the one marked (primary) — see CLAUDE.md Local Configuration) → ask the leader (currency defaults to USD).
Flow
digraph narrative {
"Review results + context" [shape=box];
"Set up the roleplay" [shape=box];
"Ask hard question" [shape=box];
"Founder answers" [shape=box];
"Probe weak spots" [shape=diamond];
"Note what held up" [shape=box];
"More questions?" [shape=diamond];
"Debrief: what worked, what didn't" [shape=box];
"Draft board narrative" [shape=box];
"Founder reviews draft" [shape=diamond];
"Finalize" [shape=doublecircle];
"Review results + context" -> "Set up the roleplay";
"Set up the roleplay" -> "Ask hard question";
"Ask hard question" -> "Founder answers";
"Founder answers" -> "Probe weak spots";
"Probe weak spots" -> "Note what held up" [label="answer holds"];
"Probe weak spots" -> "Ask hard question" [label="answer weak, follow up"];
"Note what held up" -> "More questions?";
"More questions?" -> "Ask hard question" [label="yes"];
"More questions?" -> "Debrief: what worked, what didn't" [label="no (5-7 Qs done)"];
"Debrief: what worked, what didn't" -> "Draft board narrative";
"Draft board narrative" -> "Founder reviews draft";
"Founder reviews draft" -> "Finalize" [label="approved"];
"Founder reviews draft" -> "Draft board narrative" [label="revise"];
}
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.
- 4d ago Changed d85dbeac3cfc
- 12d ago First seen · 246 lines · 39 tokens per session scan A ec0fc9b13074
board-narrative-coach is a skill published in the GitHub repository adimango/ai-adoption-playbook (23 stars, last pushed 5d ago), licensed MIT. It adds 39 tokens to every session and 2,626 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 2026-08-30.
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