Researcher Context Audit
Use when the Researcher starts, resumes, or reaches a major decision point. Build a context inventory from workstation materials, prior messages, existing artifacts, requirements, and unfinished work.
Best use case
Researcher Context Audit is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Use when the Researcher starts, resumes, or reaches a major decision point. Build a context inventory from workstation materials, prior messages, existing artifacts, requirements, and unfinished work.
Teams using Researcher Context Audit should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/researcher-context-audit/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Researcher Context Audit Compares
| Feature / Agent | Researcher Context Audit | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Use when the Researcher starts, resumes, or reaches a major decision point. Build a context inventory from workstation materials, prior messages, existing artifacts, requirements, and unfinished work.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Researcher Context Audit Use this skill before planning, before major re-planning, and after interruptions. The goal is to establish a trustworthy operating picture for the automated research workflow. ## What To Review - User goal, preferred framing, and explicit constraints. - Existing nodes, artifacts, and checkpoints. - Completed, pending, blocked, superseded, and rejected work. - Research memory, workstation materials, recent notes, and prior decisions. - Evidence quality, open questions, and unresolved contradictions. ## Output Contract Produce a compact but decision-ready context review that includes: 1. Confirmed objective. 2. What has already been completed. 3. What remains unfinished. 4. Which assumptions are still unconfirmed. 5. Which prior directions were rejected or superseded. 6. Which constraints or resources materially affect the next step. ## Quality Rules - Distinguish facts from summaries and summaries from inferences. - Do not repeat the full transcript; compress to the minimum useful operating state. - Do not ignore prior user corrections or prior failed attempts. - If the context is insufficient for safe planning, explicitly trigger the ambiguity gate instead of improvising.
Related Skills
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Researcher Ambiguity Gate
Use when the research goal, evaluation target, scope, resources, timeline, or decision criteria are ambiguous, conflicting, or not operationally testable.
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