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 feniix/pi-extensions --skill company-researchgit clone --depth 1 https://github.com/feniix/pi-extensionsWrote 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/feniix/pi-extensions/company-research)<a href="https://agentmods.dev/skills/feniix/pi-extensions/company-research"><img src="https://agentmods.dev/badge/skills/feniix/pi-extensions/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.
<a href="https://agentmods.dev/skills/feniix/pi-extensions/company-research"><img src="https://agentmods.dev/badge/skills/feniix/pi-extensions/company-research.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 | $0.00021 | $0.00619 |
| Opus 5.5 | $0.00008 | $0.00248 |
| Sonnet 5.5 | $0.00004 | $0.00124 |
| Haiku 4.5 | $0.00002 | $0.00062 |
Grade A, and why
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 27d 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Company Research (Exa)
Use this skill for company discovery, competitor scans, vendor profiles, funding or hiring signals, market maps, and quick diligence.
Tool Selection
| Intent | Primary Tool | Notes |
|---|---|---|
| Broad company or competitor discovery | web_search_exa |
Best first pass when terminology, category fit, or target companies are unclear. |
| Company-profile style results or controlled Deep Search | web_search_advanced_exa |
Use category/filter controls for retrieval and deep modes for synchronous synthesis. |
| Comparative write-up across companies | web_research_exa |
Use when enabled and the user needs synthesis or recommendations. |
| Direct factual question about one company | web_answer_exa |
Good for concise cited answers. |
| Read selected company pages, filings, or posts | web_fetch_exa |
Fetch 1-3 high-signal URLs after discovery. |
| Find companies or pages similar to one strong source | web_find_similar_exa |
Use when a seed URL is clearly representative. |
If web_search_advanced_exa is unavailable, use web_search_exa with stronger query wording. If web_research_exa is unavailable, stop at discovery plus a concise manual synthesis.
Category Behavior
category: "company"focuses on company-facing pages and profile-like structure.web_search_advanced_exaowns filtered retrieval and synchronous Deep Search;web_research_exaowns asynchronous Agent research.
Filter Restrictions
When using web_search_advanced_exa with category: "company", avoid:
excludeDomainsstartPublishedDate/endPublishedDate
These combinations are rejected by the extension before reaching Exa. If you need freshness or exclusions, run broader discovery first and filter locally.
Recommended Settings
- Broad discovery
{ "query": "AI infrastructure startups serving enterprise developers 2025", "numResults": 10 }
- Company category search
{ "query": "AI infrastructure developer tools startups", "category": "company", "type": "auto", "numResults": 12 }
- Comparative synthesis
{ "query": "Compare AI infrastructure startups serving enterprise developer teams, focusing on product positioning, traction signals, and differentiation.", "systemPrompt": "Prefer official sources, filings, funding announcements, customer pages, and reputable news. Avoid overclaiming from sparse data.", "outputSchema": { "type": "text" } }
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.
- 27d ago Changed 9ea1bc8f90ee
- 1mo ago First seen · 53 lines · 21 tokens per session scan A da314ebc1c28
company-research is a skill published in the GitHub repository feniix/pi-extensions (25 stars, last pushed 2d ago), licensed MIT. It adds 21 tokens to every session and 619 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 2026-08-30.
Other skills, from other repositories
using-pi-subagents
Operate pi-subagents jobs safely, including direct-work decisions, least-privilege tools and attachments, thinking levels, delegation, bidirectional messaging, parallel starts, timeouts, waiting, cancellation, result handling, verification, and writer isolation.
configure-pi-starship
Configure @narumitw/pi-starship and answer questions about its pi-starship.toml settings. Use when the user asks to create, edit, repair, migrate, or understand pi-starship.toml, or asks which pi-starship module, variable, option, style, palette, preset, or runtime behavior to use. Do not use for generic TOML, shell…
codebase-memory
Use the codebase knowledge graph for structural code queries. Triggers on: explore the codebase, understand the architecture, what functions exist, show me the structure, who calls this function, what does X call, trace the call chain, find callers of, show dependencies, impact analysis, dead code, unused functions…
typesafe-ai
Build AI-powered software with TypeSafe and Jev, or use pi-typesafe's typesafequestion tool for typed semantic judgments and probabilities. Use when a feature needs programmable common sense, when an LLM prompt-and-parse step could become a structured decision, or when designing, calling, evaluating, or…
configure-pi-sync
Explain @narumitw/pi-sync settings and guide safe setup through its existing manager. Use when the user asks how to configure pi-sync.json, choose Git, WebDAV, R2, or S3 storage, select synced content, understand automatic controls, or recover unsupported settings. This skill provides guidance only, not settings edits…
pi-observability-local-dev
Use when developing or reviewing packages/pi-observability dashboard/server changes locally, especially rebuilding dist, restarting the 43190 server, validating UI behavior, or keeping the local dashboard in sync with source edits.