# Company Research

> Run end-to-end company research through Primr. Use when the user asks to research a company, provides a company URL, or wants a new strategic analysis run.

- **Type:** Skill
- **Install:** `agentstack add skill-blisspixel-primr-company-research`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [blisspixel](https://agentstack.voostack.com/s/blisspixel)
- **Installs:** 0
- **Category:** [Web & Browser](https://agentstack.voostack.com/c/web-and-browser)
- **Latest version:** 0.1.0
- **License:** Apache-2.0
- **Upstream author:** [blisspixel](https://github.com/blisspixel)
- **Source:** https://github.com/blisspixel/primr/tree/main/skills/company-research

## Install

```sh
agentstack add skill-blisspixel-primr-company-research
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Company Research

## Purpose

Use this skill to start and monitor Primr research runs through MCP. Treat MCP as the source of truth for current modes, defaults, and outputs.

## Workflow

1. Read `primr://research/modes` to confirm the current mode guidance.

2. Read `primr://research/status` to see whether a run is already active.

3. Call `estimate_run` before starting a new run. Supports `platforms` (array), `strategy_type`, and `no_ai_strategy` parameters. Returns `estimated_time_range` alongside `estimated_time_minutes`.

4. Present the estimate, state that the run incurs real API cost, and get explicit approval before calling `research_company`.

5. After starting a run, monitor with `wait_for_status_change` or `check_jobs` until terminal.

6. Read `primr://output/artifacts/by_job/{job_id}` to inventory completed-job
artifacts without report body content, then read `primr://output/latest` only
when a report preview is needed to present the result and next actions. Read
`primr://output/qa_summary/by_job/{job_id}` when QA artifacts are attached and
the user needs QA outcome metadata. Read
`primr://output/usage_summary/by_job/{job_id}` when the user needs cost,
timing, approval, or artifact-count metadata.
Read `primr://output/source_summary/by_job/{job_id}` when the user needs
citation/source appendix metadata.
Read `primr://output/trace_summary/by_job/{job_id}` when the user needs scrape
trace health metadata.
Read `primr://output/verification_summary/by_job/{job_id}` when the user needs
claim verification trust score, claim counts, status counts, first-party
downgrade counts, or source-reference counts without raw claims, source URLs,
search queries, explanations, or report body content.
Read `primr://output/calibration_summary/by_job/{job_id}` when the user needs
label-calibration counts, inference source-copy counts, evidence-review count
buckets, judge provenance, or judge-agreement metadata without raw claims,
source URLs, evidence reviews, rationales, or report body content.
MCP resource reads are audit-logged with hashed URI/result values and
normalized resource kind, without raw URI query values or resource bodies.
A2A skill calls are audit-logged with hashed message/result payloads, hashed
caller ids, granted scopes, duration, outcome, and job id when present, without
raw message text, task ids, URLs, report paths, raw results, or caller ids.

## Operating Rules

- Prefer the lightest mode that answers the request.

- Do not restate fixed pricing or provider defaults from memory. Use MCP resources and `estimate_run`.

- If a job is already in progress, surface that state instead of starting a second run.

- Treat `full` as the standard end-to-end workflow and `premium` as the higher-cost, higher-depth option.

- Expect standard runs to take roughly 35-50 minutes and premium multi-vendor runs to reach 75-120 minutes.

- Do not hold the client in a synchronous wait for the entire run; launch once, then monitor and resume from job state.

## Example

```text

User: Research ExampleCo at https://example.com

1. Read primr://research/modes

2. Read primr://research/status

3. estimate_run(company_url="https://example.com", mode="full")

4. After approval: research_company(company_name="ExampleCo", company_url="https://example.com", mode="full", max_estimated_cost_usd=0.67)

5. wait_for_status_change(job_id="...", timeout_seconds=60)

```

## Error Handling

- `job_in_progress`: report the active run and offer to monitor it.

- `invalid_url` or `ssrf_blocked`: ask for a valid public URL or switch to `deep` if appropriate.

- `rate_limit_exceeded`: wait for the retry window and retry.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [blisspixel](https://github.com/blisspixel)
- **Source:** [blisspixel/primr](https://github.com/blisspixel/primr)
- **License:** Apache-2.0

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-blisspixel-primr-company-research
- Seller: https://agentstack.voostack.com/s/blisspixel
- Browse the marketplace: https://agentstack.voostack.com/browse

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