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 deal-strategygit 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/deal-strategy)<a href="https://agentmods.dev/skills/mishahanin/heading-os/deal-strategy"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/deal-strategy/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/deal-strategy"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/deal-strategy.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 | $0.00090 | $0.02275 |
| Opus 5 | $0.00045 | $0.01137 |
| Sonnet 5 | $0.00018 | $0.00455 |
| Haiku 4.5 | $0.00009 | $0.00228 |
Grade A, and why
deal-strategy 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 — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deal Strategy
Full deal strategy analysis for a specific prospect or opportunity.
Variables
prospect: [Company name, country, size/type]
context: [What we know — how they came to us, what they're evaluating, current vendor, key contact]
deal_size: [Estimated bandwidth requirements and deal value if known]
timeline: [Decision timeline if known]
competitive: [Known or suspected competitive consideration]
Instructions
Before analyzing, read:
context/business-info.md— ODUN.ONE modules, use case library, and competitive positioningcontext/strategy.md— Go-to-market strategy and competitive positioningreference/dpi-market-intelligence.md— Competitor profiles (state-aligned and pure-play vendors)reference/billion-growth-playbook.md— Land-and-expand model and pricing strategycontext/pipeline.md— Current pipeline contextreference/geopolitical-landscape.md— Regional context for this deal
Session Memory (memlog)
A deal strategy is worked across many turns and often survives a context compaction. Keep an append-only working memory so a fresh session can resume without losing the decisions made so far.
- On start: if
outputs/negotiations/[prospect-slug]/.memlog.mdis absent,python scripts/memlog.py init --workspace outputs/negotiations/[prospect-slug] --field topic="[prospect] deal strategy" --field mode=deal. If it already exists, from an incomplete prior session, do NOT re-runinit, which errors by design. Read the file yourself to resume, then continue withappendandset. - As you go: record each material decision/insight at the moment it lands —
python scripts/memlog.py append --workspace outputs/negotiations/[prospect-slug] --text "anchor at 347,850, hold the discount" --type decision. Keep entries one line and minimal; this is working memory, not the deliverable. - On wrap-up:
python scripts/memlog.py set --workspace outputs/negotiations/[prospect-slug] --key status --value complete.
What ships with it
2 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 · 192 lines · 90 tokens per session scan A 6e5869182cfa
deal-strategy is a skill published in the GitHub repository mishahanin/heading-os (11 stars, last pushed 3d ago), licensed Apache-2.0. It adds 90 tokens to every session and 2,275 once invoked, about $0.0005 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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