intake-audit

Audits and trust-ranks existing research assets to select the next workflow anchor.

Updated Apr 1, 2026
One-click install
npx skills add https://github.com/zniihgnexy/vid_tokenizer --skill intake-audit-zniihgnexy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: intake-audit
Source: https://github.com/zniihgnexy/vid_tokenizer/tree/main/.ds/codex-home/skills/deepscientist-intake-audit
Command: npx skills add https://github.com/zniihgnexy/vid_tokenizer --skill intake-audit-zniihgnexy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Research quests often do not start from a blank state: baselines, experiment results, drafts, or reviewer comments may already exist. This Skill audits that existing state, ranks each asset by trustworthiness, reconciles it with durable records, and decides which research skill should take over next instead of wastefully rerunning work from zero. ## Core Features & Use Cases - State Inventory: Classifies the quest into intake states such as baseline_ready, main_result_ready, draft_ready, or review_package_ready using a structured audit template. - Trust Ranking: Labels every major asset as trusted, usable_with_verification, reference_only, stale_or_conflicting, or missing_context, preserving provenance. - Route Recommendation: Records a durable decision artifact that hands off to the right next anchor such as baseline, experiment, analysis-campaign, write, or rebuttal. - Use Case: A user says the baseline already exists and must not be rerun. The Skill inspects quest files, memory, and git state, confirms the baseline's metric contract, and routes directly to the experiment stage. ## Quick Start Audit the current quest's existing baselines, results, and drafts, then tell me which research step should run next.

Frequently Asked Questions about intake-audit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I continue a research project without rerunning existing experiments?▼

Run an intake audit that inventories existing baselines, results, and drafts, then trust-ranks each asset. Only assets with clear metric contracts and provenance are marked trusted, so completed work is reused instead of repeated.

What should I do when a research quest already has a baseline?▼

Verify the baseline's metric contract, source, and comparability before confirming it as durable state. If trust is incomplete, route to a baseline validation step; if confirmed, move directly to the main experiment stage.

How do I handle reviewer comments on an existing paper draft?▼

Classify the quest as a review_package_ready state and route to a rebuttal workflow rather than a fresh paper-writing pass. The audit records which review materials are trusted and what the revision must address.

When should I not use an intake audit for a research task?▼

Skip the audit when the quest is genuinely blank and should start with scouting or baseline work, when the state is already normalized with an obvious next step, or when the request is not research-related.

How does the audit decide which research step runs next?▼

It reconciles trust-ranked assets against durable records, then writes a decision artifact naming the next anchor: baseline for untrusted baselines, experiment for missing main results, analysis-campaign for weak evidence, write for ready drafts, or rebuttal for active reviews.