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/market-briefWrote 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/market-brief)<a href="https://agentmods.dev/skills/mishahanin/heading-os/market-brief"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/market-brief/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/market-brief"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/market-brief.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 7 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00121 | $0.01222 |
| Opus 5 | $0.00060 | $0.00611 |
| Sonnet 5 | $0.00024 | $0.00244 |
| Haiku 4.5 | $0.00012 | $0.00122 |
Grade A, and why
market-brief 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 11d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- market-brief — 100% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Brief
Produce an instant market intelligence brief on a region, country, sector, or competitor.
Variables
topic: [Region / country / competitor / technology trend — e.g., "[target-region] telco market", "a competitor DPI position", "[region] sovereignty regulations", "5G security spending in [region]"]
depth: surface | detailed — default: surface (3-5 key points); detailed (full analysis)
purpose: [What decision or action this brief supports — optional]
Instructions
Before drafting, read:
reference/dpi-market-intelligence.md— DPI market data and competitor landscapereference/geopolitical-landscape.md— Regional sovereignty and tech contextreference/search-domains.md— Domain filtering for web searchescontext/strategy.md— Strategic priorities to frame relevancecontext/current-data.md— Current positioning and active markets
When searching the web for market intelligence, apply domain filtering from reference/search-domains.md:
- Use
allowed_domainsfrom the topic groups most relevant to the query. Telecom & DPI serves the DPI market, and the relevant regional group serves regional telecom - Always apply Blocked Domains as
blocked_domains - For broad market overview queries, use
blocked_domainsonly
Produce a brief covering:
Surface (3-5 key points):
- Market size and growth rate (if applicable)
- Key dynamics and drivers
- 31C's position and opportunity
- 2-3 actionable insights for Misha
Detailed (full analysis):
- All of the above plus:
- Competitive landscape in this region/sector
- Regulatory environment
- Entry timing assessment
- Recommended positioning approach
- Specific risks and mitigations
Frame everything through 31C's lens: sovereign, non-aligned, DPI+ category leader, the legacy incumbent vacuum opportunity.
Markets Are Pricing (conditional, Polymarket)
The Polymarket coverage whitelist is AI, big tech, elections, geopolitics, crypto, macro, global sports, and corporate events. See reference/polymarket-coverage.md. If the topic matches it, include a "Markets Are Pricing" section in the brief output.
What ships with it
1 file 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.
- 11d ago First seen · 117 lines · 121 tokens per session scan A ab5536108c5a
market-brief is a skill published in the GitHub repository mishahanin/heading-os (11 stars, last pushed 3d ago), licensed Apache-2.0. It adds 121 tokens to every session and 1,222 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 2026-08-30.
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