workflow-audit

Solid

Use when manual work, prior sessions, or an operator interview must be audited for repeatable skill, automation, or bounded-loop candidates.

AI & Automation 138 stars 20 forks Updated 3 weeks ago MIT

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Quality Score: 85/100

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90
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80
License 10%
100
Description 5%
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Skill Content

# Workflow Audit <skill_contract> <input>Bounded manual notes, prior-session evidence, or interview answers describing work, repetition, decisions, and constraints.</input> <output>A deterministic audit with mode, evidence-bounded candidates, skill/automation/loop decisions, permissions, and a typed handoff.</output> <done>Every recommendation points to supplied evidence, remains within the input bound, and has an explicit supervised promotion decision.</done> <non_goals>Editing skills, changing schedules, mutating Vault state, inventing metrics, or executing an unapproved external action.</non_goals> ## Usage Template Provide: objective, evidence source, mode (`manual`, `session`, or `interview`), size bound, candidate limit, operator/approval owner, and desired handoff. ## Workflow <intake> Classify the source as manual notes, prior-session history, or an operator interview. Preserve its hash and provenance. Infer a mode only when the text contains a clear session or interview signal; otherwise use `manual`. </intake> <unknowns_gate> Separate observed repetition from a proposed improvement. Missing frequency, owner, verifier, permission, or stop condition makes a candidate review-only; it does not justify a schedule or autonomous loop. </unknowns_gate> <execute> Extract a bounded list of distinct work candidates. For each candidate, decide: - `SKILL_CANDIDATE` when the work has a reusable procedure or multiple steps; otherwise `KEEP_MANUAL`. - `AUTOMATION_CA...

Details

Author
Mark393295827
Repository
Mark393295827/third-brain-v7-skills
Created
4 months ago
Last Updated
3 weeks ago
Language
Python
License
MIT

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