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Validate project instructions

Skill MSiccDev/ai-context-kit/skills/validate-project-instructions

Validate project-context AGENTS.md files for required sections, session-state model completeness, role quality, and scoring compliance.From its SKILL.md

Install
npx -y skills add MSiccDev/ai-context-kit --skill validate-project-instructions

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 12 stars12 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

2.5 KB, 464 tokens by cl100k_base, as published. Nobody here has run it

Validate Project Context AGENTS

Purpose

Validate project-context AGENTS.md files with structured checks for required sections, session-state controls, role definitions, and core required-section completeness based on a deterministic scoring rubric.

When To Use

  • Use this skill to validate project-context AGENTS.md files.
  • Use this skill when reviewing project context quality prior to active use.
  • Do not use this skill for user-context instruction validation.

How to Invoke

Load or attach this file's contents into your AI session to activate the workflow (paste, upload, or reference with #file:skills/validate-project-instructions/SKILL.md in VS Code Copilot Chat). In Claude Projects, add it to project knowledge. See Invoking Skills in the README for full platform guidance.

Required Inputs

  • Target project-context AGENTS.md path.
  • Expected section model and command reference expectations.
  • Any strictness preferences for warnings vs required fixes.

Workflow

  1. Run validation phases from references/phase-checks.md.
  2. Check for <!-- spec_version: ... --> comment: flag as WARNING if absent (pre-existing files may predate this requirement); flag as WARNING if present but older than 1.4.3.
  3. Generate report using references/report-contract.md.
  4. Apply deterministic scoring from references/scoring.md.
  5. Classify findings into critical/warning/enhancement buckets.
  6. Produce project-specific remediation guidance.

Output Expectations

  • Structured markdown report with five validation phases.
  • Clear status for critical issues vs warnings.
  • Numeric score and grading band.
  • Concrete example fixes for major gaps.
  • Report schema follows references/report-contract.md.
  • Scoring and grade bands follow references/scoring.md.

Resources

  • Phase checks: references/phase-checks.md
  • Report contract: references/report-contract.md
  • Scoring model: references/scoring.md
  • Example target: ../../AGENTS.md

Constraints And Safety

  • Keep findings specific and actionable.
  • Preserve project terminology when proposing fixes.
  • Keep validation language provider-neutral.
  • Do not rewrite source files automatically.

What ships with it: 4 files

4.5 KB alongside SKILL.md

references/

Gives 0 of the 12 instructions most memory context skills give in 464 tokens

Counted across 754 of the 1,056 authors here whose files we hold, read 2026-09-06

  • Preserve existing content structurein 15 of 754, across 9 files
  • Front-load the leading wordin 14 of 754, across 10 files
  • Update existing entries instead of duplicatingin 14 of 754, across 7 files
  • Keep CLAUDE.md under one hundred linesin 14 of 754, across 12 files
  • Read CLAUDE.md at the project rootin 14 of 754
  • Keep each meaning in a single source of truthin 12 of 754, across 8 files
  • Redact sensitive information before committingin 11 of 754, across 4 files
  • Scan for all CLAUDE.md filesin 11 of 754, across 7 files
  • Use frontmatter for metadata on filesin 10 of 754, across 3 files
  • Repeat user interactions 10 timesin 10 of 754, across 4 files
  • Write the CLAUDE.md file into the target folderin 10 of 754, across 8 files
  • Use memlab to process snapshotsin 9 of 754, across 3 files

Said here and by no other author read

  • Run validation phases from phase checks
  • Check for spec version comment
  • Generate report using report contract
  • Apply deterministic scoring
  • Classify findings into buckets
  • Produce remediation guidance

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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