sos-company-research

sos-company-research is a skill for Codex from Gal-Davidzon/public-risk-intelligence-mcp. It costs 71 tokens per session (781 once invoked), scanned A, original, MIT.

A research skill for checking companies in official United States state business registries and producing evidence-backed findings. State registries are government records of businesses registered in a particular state.

In plain words
What is it for?
Use it to research a named company in a specified US state, search official registry records, and return traceable evidence.
Why use it?
It helps verify whether a company exists, its registration status, filing details, and documented connections while showing uncertainty and source evidence.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to research a named company in a specified US state, search official registry records, and return traceable evidence.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gal-davidzon/public-risk-intelligence-mcp/sos-company-research
Install

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.

Any agent
npx skills add Gal-Davidzon/public-risk-intelligence-mcp --skill sos-company-research
Clone the repo
git clone --depth 1 https://github.com/Gal-Davidzon/public-risk-intelligence-mcp

Made for: Codex.

Wrote 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.

agentmods badge for sos-company-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/gal-davidzon/public-risk-intelligence-mcp/sos-company-research/github.svg)](https://agentmods.dev/skills/gal-davidzon/public-risk-intelligence-mcp/sos-company-research)
Your own site
<a href="https://agentmods.dev/skills/gal-davidzon/public-risk-intelligence-mcp/sos-company-research"><img src="https://agentmods.dev/badge/skills/gal-davidzon/public-risk-intelligence-mcp/sos-company-research/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.

agentmods 80×15 button for sos-company-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/gal-davidzon/public-risk-intelligence-mcp/sos-company-research"><img src="https://agentmods.dev/badge/skills/gal-davidzon/public-risk-intelligence-mcp/sos-company-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 781 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00071 $0.00781
Opus 5 $0.00036 $0.00391
Sonnet 5 $0.00014 $0.00156
Haiku 4.5 $0.00007 $0.00078

Measured 11d ago against content hash 392b0d183fa0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

sos-company-research 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.

skills/sos-company-research/SKILL.md · 38 lines

How it starts

The opening of the file, as written. The whole thing — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Public Risk Intelligence Company Research

Use the public-risk-intelligence MCP server as the state-policy, evidence-normalization, and investigation layer. Existing installations may expose the same compatible tools under a locally assigned sos-research alias. Prefer official sources and report uncertainty explicitly.

Workflow

  1. Identify the requested state and exact company-name query. If the state is missing, ask for it because US entity names are state-scoped.
  2. Call get_state_access before choosing a route.
  3. When a supported official API is available, call search_business with route: "auto". Do not open a browser merely to duplicate the same result.
  4. Otherwise call prepare_browser_search, then execute that plan with the host's native browser capability. Use the user's named browser when they specify one. Search only the official registry URL returned by the tool and follow its verified state recipe exactly when present.
  5. Convert visible result rows into {fields, text, detail_url} records and call finalize_browser_search. Use the final browser URL as source_url. This validates the official host and returns the same normalized evidence contract as an API search.
  6. If a plan has no verified recipe, call list_browser_recipe_candidates for that state. Treat a candidate as a hint only: validate its visible controls before using it. Once the official page has been searched, call record_browser_recipe_observation with only public structural metadata (search control, submit control, result selector, visible column headings, and a challenge note). Never include search results, personal details, session data, cookies, or credentials in a recipe observation.
  7. If the policy is blocked, do not automate the interactive search. Explain the official bulk, paid, or manual alternative returned by the tool.
  8. If the page presents a CAPTCHA or human-verification action, do not bypass it. Follow the browser client's confirmation or handoff rules and continue only if permitted.
  9. Stop after collecting the requested public evidence. Do not submit filings, purchase documents, create accounts, accept paid terms, or alter registry records.
  10. When the task includes multiple people, companies, or relationships, call build_investigation_report with the normalized evidence. Treat analysis.correlations as evidence-backed review leads only: inspect every cited evidence and relationship ID, consider the stated benign alternatives, and never present a correlation as proof of fraud, money laundering, stolen identity, or common control.

Read the full file on GitHub · 38 lines

Files

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.

Changes

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.

  1. 11d ago First seen · 38 lines · 71 tokens per session scan A 392b0d183fa0

Subscribe to this mod's changes

sos-company-research is a skill published in the GitHub repository Gal-Davidzon/public-risk-intelligence-mcp (0 stars, last pushed 16d ago), licensed MIT. It adds 71 tokens to every session and 781 once invoked, about $0.0004 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 2026-08-31.

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