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 skillmds/skillmd --skill gov-competitive-intelgit clone --depth 1 https://github.com/skillmds/skillmdWrote 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/skillmds/skillmd/gov-competitive-intel)<a href="https://agentmods.dev/skills/skillmds/skillmd/gov-competitive-intel"><img src="https://agentmods.dev/badge/skills/skillmds/skillmd/gov-competitive-intel/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/skillmds/skillmd/gov-competitive-intel"><img src="https://agentmods.dev/badge/skills/skillmds/skillmd/gov-competitive-intel.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 | $0.00026 | $0.00533 |
| Opus 5.5 | $0.00010 | $0.00213 |
| Sonnet 5.5 | $0.00005 | $0.00107 |
| Haiku 4.5 | $0.00003 | $0.00053 |
Grade A, and why
gov-competitive-intel 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 1mo 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:
- gov-competitive-intel — 100% identical, 1 lines differ
What it actually says
Competitive Intelligence
Company research combining SEC filings, news, federal contracts, and comprehensive profiles.
Setup
mcporter add gov-intel --url https://competitive-intel-mcp.apify.actor/mcp --transport streamable-http
Or add to your OpenClaw MCP config (~/.openclaw/mcp.json):
{
"servers": {
"gov-intel": {
"url": "https://competitive-intel-mcp.apify.actor/mcp",
"transport": "streamable-http"
}
}
}
Available Tools
intel_company_filings
Search SEC EDGAR for a company's regulatory filings (10-K, 10-Q, 8-K, etc).
Show Apple's recent SEC filings
Find Tesla 10-K annual reports
Parameters: companyName (required), formType, dateFrom (YYYY-MM-DD), dateTo, limit
intel_company_news
Search recent news articles about a company.
Show recent news about Microsoft
What's in the news about Nvidia?
Parameters: query (required), limit
intel_company_contracts
Search USASpending.gov for federal awards to a specific company.
Show federal contracts for Palantir
Find government grants to SpaceX
Parameters: companyName (required), awardType ("contracts", "grants", "loans", or "all"), dateFrom (YYYY-MM-DD), dateTo, limit, page
intel_company_profile
Get a comprehensive competitive intelligence snapshot combining filings, news, and contract data.
Build a competitive profile for CrowdStrike
Get full intel on Booz Allen Hamilton
Parameters: companyName (required)
Data Sources
- SEC EDGAR — Company regulatory filings
- Google News — Recent company news
- USASpending.gov — Federal contract awards
Use Cases
- Competitive analysis and benchmarking
- Vendor and partner due diligence
- Investment research
- Government contractor intelligence
All data from free public APIs. Zero cost. No API keys required.
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.
- 1mo ago First seen · 88 lines · 26 tokens per session scan A 22e277417d20
gov-competitive-intel is a skill published in the GitHub repository skillmds/skillmd (143 stars, last pushed 4d ago), licensed MIT. It adds 26 tokens to every session and 533 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-19.
gov-competitive-intel compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| gov-competitive-intelskillmds/skillmd | Skill | 143 | 4d ago | MIT | A | 26 | Claude Code |
| sloplessberelevant-ai/slopless | Skill | 339 | 3d ago | MIT | A | 40 | Claude Code, Codex |
| suikonwiizo/suiko | Skill | 115 | yesterday | MIT | A | 192 | Codex |
| poly-lint-and-formatGoldziher/poly | Skill | 20 | today | MIT | A | 42 | Claude Code |
| poly-orchestratorGoldziher/poly | Skill | 20 | today | MIT | A | 43 | Claude Code |
| poly-mcpGoldziher/poly | Skill | 20 | today | MIT | A | 38 | Claude Code |
| poly-tiers-and-scopeGoldziher/poly | Skill | 20 | today | MIT | A | 60 | Claude Code |