Reads .cheat-state.json and project files to produce a prioritized action list.
npx skills add https://github.com/Jason5330/ai-self-eval --skill cheat-status
Please help me install this Agent Skill. Skill: cheat-status Source: https://github.com/Jason5330/ai-self-eval/tree/main/skills/cheat-status Command: npx skills add https://github.com/Jason5330/ai-self-eval --skill cheat-status
Cheat-status provides a centralized, real-time overview of the current Cheat-on-Content state by reading the state file and scanning user projects, summarizing progress, and outputting today’s action list to act on.
Run the cheat-status skill to generate today’s action list from your current state.
High-intent search queries and answers about installing and using this skill.
A content calibration status dashboard summarizes progress by reading local state files and project files, surfacing actionable recommendations for rubric updates, retrospectives, and in-progress sessions in a prioritized to-do list.
Tracking retrospective and rubric updates across multiple projects involves reading local state files and associated project files to produce a prioritized to-do list aligned with your calibration goals.
Surface actionable recommendations from a local state file by applying derived insights to predictions, rubric notes, and in-progress sessions, producing concrete, clickable commands for each suggested action.
When summarizing project state metrics, missing fields are explicitly labeled as unknown to ensure clarity and prevent assumptions in the generated progress overview and action list.
No dependencies are required to use the cheat-on-content status dashboard, as it operates independently by reading the local .cheat-state.json file and scanning associated project files directly.
Yes, you can get clickable commands for your daily content calibration to-do list by running the skill, which generates concrete, actionable commands for each suggested step based on your current state.
az9713Initialize a project with dark code prevention directories, CLAUDE.md section, and baseline audit.
idealutopia00Plan and execute a five-stage domain learning workflow with progress tracking.
MINT-IAAggregate phase, plan, requirements, git metrics, and timeline into a single dashboard.
RavBogardAggregate phase, progress, blockers, decisions, and next action from STATE.md, ROADMAP.md, and SUMMARY.md.
