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/mishahanin/heading-osnpx agentmods add skills/mishahanin/heading-os/proposalWrote 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/proposal)<a href="https://agentmods.dev/skills/mishahanin/heading-os/proposal"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/proposal/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/proposal"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/proposal.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 | $0.00112 | $0.01855 |
| Opus 5 | $0.00056 | $0.00928 |
| Sonnet 5 | $0.00022 | $0.00371 |
| Haiku 4.5 | $0.00011 | $0.00186 |
Grade A, and why
proposal 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 8d 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 — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Proposal (31C Branded)
Produce a formal commercial proposal using the locked 31C corporate template. Four-page deliverable: dark cover, executive opening + opportunity, solution + proof, commercial terms + next steps. Renders to PDF + DOCX.
Variables
type: sales | partnership | channel | governmentrecipient: organisation name, country, and named sponsor contactobjective: what this proposal is asking for or proposingcontext: background on the relationship and deal status
Phase 0: Context Loading
Read (in order):
reference/corporate-style-guide.md- locked template, checklist, terminologyreference/templates/spec-core.md- the Non-Goals + Success Signal discipline folded into the draft.claude/rules/corporate-docs.md- guardrail and pipeline.claude/rules/terminology.md,.claude/rules/voice.md,.claude/rules/voss.mdcontext/business-info.md- ODUN.ONE modules, credentials, partner ecosystemcontext/people.md- recipient relationship contextcontext/pipeline.md- current pipeline statusreference/billion-growth-playbook.md- channel economics and partnership structurecontext/strategy.md- competitive positioningreference/misha-voice.md- voicedatastore/INDEX.md- validate any cited facts or numbers
Phase 1: Classify and Confirm
Announce:
Using
/proposal(31C commercial proposal template). PDF + DOCX will be rendered. Locked dark cover, executive opening, solution + proof page, commercial terms with Voss precision, and confidentiality footer applied.
Confirm: proposal type, recipient, sponsor contact, and the specific asking. If this looks like an MOU / LOI / term sheet, recommend /partnership-doc instead.
Phase 2: Draft
Cover page
SUBJECT: under 80 characters, captures the deal.LEDE: 1-2 sentences. What is being proposed, who benefits, what timeframe.
Executive Opening (EXECUTIVE_OPENING_HTML)
- Misha's (or sender's) personal note establishing the relationship.
- First-person singular.
- Peer-to-peer, not vendor.
- Under 150 words.
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.
- 8d ago First seen · 172 lines · 112 tokens per session scan A 69a5748186a9
proposal is a skill published in the GitHub repository mishahanin/heading-os (11 stars, last pushed 2d ago), licensed Apache-2.0. It adds 112 tokens to every session and 1,855 once invoked, about $0.0006 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
PDF files: create, read, merge, fill, OCR, edit text.
hive.pdf
Read, write, merge, split, rotate, watermark, encrypt, and OCR PDF files using Python (pypdf, pdfplumber, reportlab, pypdfium2) and command-line tools (poppler-utils, qpdf). Use when the user asks to extract text/tables/images from a PDF, create or modify a PDF, combine or split PDFs, OCR a scanned PDF…
google-apps-script
Build Google Apps Script automation for Sheets and Workspace. Custom menus, triggers (onEdit / time-driven / form submit), dialogs, sidebars, email batches, PDF export, external API. Use whenever the user wants to automate a Google Sheet, build a Sheets menu / sidebar / dialog, hit a Sheets row from email or a…
anydoc
Convert Word (.doc/.docx/.docm), PowerPoint (.ppt/.pps/.pot/.pptx/.pptm/.ppsx/.ppsm), Excel (.xls/.xlsx/.xlsm/.xlsb), OpenDocument (.odt/.ods/.odp), RTF, EPUB, CSV, and PDF documents to clean GitHub-Flavored Markdown locally with the Any Doc CLI (npx -y @firecrawl/[email protected]): headings, GFM tables, slide structure…
documents
Generate, inspect, validate, and fix PDF, Word (.docx), Excel (.xlsx), and PowerPoint (.pptx) documents: turn structured content into render-ready artifacts, verify structural and output quality before delivery, and repair broken files. Use when a task involves creating, editing, converting, or validating office…
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and…