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 mishahanin/heading-os --skill meeting-prepgit clone --depth 1 https://github.com/mishahanin/heading-osWrote 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/mishahanin/heading-os/meeting-prep)<a href="https://agentmods.dev/skills/mishahanin/heading-os/meeting-prep"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/meeting-prep/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/mishahanin/heading-os/meeting-prep"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/meeting-prep.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 | $0.00138 | $0.02198 |
| Opus 5 | $0.00069 | $0.01099 |
| Sonnet 5 | $0.00028 | $0.00440 |
| Haiku 4.5 | $0.00014 | $0.00220 |
Grade A, and why
meeting-prep 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 — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meeting Prep
Pre-meeting briefing with talking points, relationship context, and strategic objectives.
Variables
with: [Who — name, title, company]
purpose: [Meeting purpose — partnership discussion, investor pitch, government meeting, customer demo, technical review]
date: [When — for timeline context]
format: in-person | video | phone — default: video context: [Any additional context — how did this meeting come about, what happened last time, what's at stake]
Instructions
Before preparing, read:
context/people.md— Full relationship context for this person/organizationcontext/pipeline.md— Check if this relates to an active deal, partnership, or investor conversationcontext/strategy.md— Strategic priorities and competitive positioningcontext/business-info.md— ODUN.ONE, company credentials, partner ecosystemreference/dpi-market-intelligence.md— Market data relevant to this meetingreference/geopolitical-landscape.md— Regional context if relevantreference/search-domains.md— Domain filtering for web searchesoutputs/intel/cases/[target-slug].md— IF a forensic case file exists for this counterpart or their company (written by/osintor/competitor-intel). Read it to inherit prior hypotheses and their evidence grades. This skill is a read-only consumer of the case file — surface the top graded claims, never write or modify it. Grading spec:reference/forensic-evidence-grading.md.
When you surface a claim drawn from the case file, carry its evidence grade with it. That applies in "Their World Right Now" and in "Competitive Context". Misha then knows what is Confirmed versus merely Hypothesized walking into the room.
Briefing Structure
1. Who You're Meeting
- Name, title, organization
- Relationship history (from people.md or provided context)
- Their priorities and what they care about
- Communication style (from people.md or inferred from culture/role)
- Decision-making authority
What ships with it
6 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 · 174 lines · 138 tokens per session scan A eab596ca2ece
meeting-prep is a skill published in the GitHub repository mishahanin/heading-os (11 stars, last pushed 3d ago), licensed Apache-2.0. It adds 138 tokens to every session and 2,198 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 2026-08-30.
Other skills, from other repositories
shogun-bloom-config
An interactive wizard that creates model-routing settings from your AI subscription choices. Model routing decides which available model handles each kind of task.
shogun-screenshot
A screenshot tool for getting images from a computer or web page and then cropping, resizing, or masking sensitive information. Playwright is a browser-automation tool used here to capture web pages.
shogun-model-list
A reference table of AI command-line tools, their available models, subscription requirements, and maximum Bloom capability levels. Bloom's Taxonomy is a scale describing thinking tasks, from remembering information to creating new designs.
shogun-model-switch
A live-switching tool for changing which command-line AI agent, model, and reasoning mode is running. It updates settings, restarts the agent, and refreshes the displayed session information.
shogun-readme-sync
A skill that compares an English README with its Japanese counterpart and brings them back into alignment. A README is the project document that explains what the software is and how to use it.
shogun-agent-status
A skill that shows whether the agents in a multi-agent Japanese feudal-themed team are working, waiting, missing, or assigned tasks. It combines terminal session status, task files, and unread messages.