---

name: hypothesis-tracking

version: "1.1.0"

description: "Retrieve and update company hypotheses in Primr. Use when the user asks what is already known, wants to validate a claim, or wants to persist a research finding."

mcp_server: "primr"

tools:

  - get_hypotheses

  - save_hypothesis

resources:

  - primr://context

---



# Hypothesis Tracking



## Purpose



Use this skill to manage durable research memory for a company. Hypotheses are a working memory layer, not final truth.



## Workflow



1. Retrieve hypotheses before starting duplicate research.

2. Present confidence clearly: untested, validated, invalidated, or confirmed.

3. Update confidence only when new evidence exists.

4. Keep evidence strings short, factual, and source-oriented.



## Operating Rules



- Distinguish known facts from open hypotheses.

- Preserve the evidence trail when confidence changes.

- Prefer updating an existing hypothesis over creating duplicates.

- Expired or weak hypotheses should be re-validated before being presented as current.



## Example



```text

get_hypotheses(company="ExampleCo", topic="technology")

save_hypothesis(company="ExampleCo", hypothesis_id="h_001", confidence="validated", evidence="CTO interview confirms AWS usage")

```