Validate discoverability invariants of memory index.md and archive/superseded-decisions.archive.md.

Custom licenceAuto-check passedDevelopment

Install Memory Index Lint

skills CLI
$ npx skills add digipulse-engineering/GAAI-framework --skill memory-index-lint -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install digipulse-engineering/GAAI-framework memory-index-lint --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.gaai/core/skills/cross/memory-index-lint .claude/skills/memory-index-lint && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
memory-index-lint
GitHub stars
163
Token cost
~1.7k tokens
SKILL.md length
676 words
Files
1
Skills in repo
51
Repo updated
First seen
Licence
Custom licence

At a glance

Validate discoverability invariants of memory index.md and archive/superseded-decisions.archive.md.

  • Works in 5 steps: Table column consistency. For every… → Active ↔ archive symmetry. Every DEC ID… → DEC frontmatter source-of-truth. For… → …
  • Tasks that involve Linting and formatting
  • SKILL.md covers Purpose / When to Activate, Two execution paths, Worktree + parallel safety and Quality Checks, plus 2 more sections
  • Calls python3 and claude

What it does

Memory Index Lint is an agent skill from digipulse-engineering/GAAI-framework. Validate discoverability invariants of memory index.md and archive/superseded-decisions.archive.md. Tool-agnostic L3 prompt + capability-dependent L4 script. Detects table corruption, dangling/orphan supersession pointers, frontmatter inconsistencies, missing affordance signals.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: L3 prompt = any filesystem-based AI coding agent ; L4 script requires Python 3.9+ + Bash access

It sits in Development, covering Linting and formatting. The repository describes itself as: Turns AI coding tools into reliable software delivery systems. Drop a .gaai/ folder into any project — Discovery defines what to build, Delivery executes autonomously until…

When your agent uses it

  • Tasks that involve Linting and formatting

Example prompts

  • “/memory-index-lint”

Requirements

  • Python 3
  • Compatibility (from SKILL.md): L3 prompt = any filesystem-based AI coding agent ; L4 script requires Python 3.9+ + Bash access

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Table column consistency. For every Markdown table in index.md and the archive, every row has the same number of |-delimited cells. If a…
  2. Active ↔ archive symmetry. Every DEC ID in the "Superseded (archived)" pointer table of index.md MUST have exactly one matching row…
  3. DEC frontmatter source-of-truth. For every DEC referenced in the archive index, read decisions/DEC-XX.md frontmatter and verify
  4. Path stability. Every DEC referenced in active index OR archive index has its file at decisions/DEC-XX.md on disk. Exception: a DEC ID may…
  5. Supersedeur backlink (V2 — soft check V1). For every supersession edge DEC-X → DEC-Y, the supersedeur DEC-Y's frontmatter should declare…

What it can do on your machine

Read from SKILL.md and the folder at commit a26ea7a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3
    • claude

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    L3 prompt = any filesystem-based AI coding agent ; L4 script requires Python 3.9+ + Bash access

    From compatibility in the SKILL.md frontmatter.

Context cost

Memory Index Lint loads about 1.7k tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 676 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 676 words (~1,668 tokens).

“Validate that index.md and archive/superseded-decisions.archive.md satisfy the discoverability invariants required for AI agents to reliably navigate the memory corpus without missing context.”

— opening of SKILL.md by digipulse-engineering, Custom licence
name
memory-index-lint
compatibility
L3 prompt = any filesystem-based AI coding agent ; L4 script requires Python 3.9+ + Bash access
license
ELv2
metadata.author
gaai-framework
metadata.version
1.0
metadata.category
cross
metadata.track
cross-cutting
metadata.id
SKILL-MEMORY-INDEX-LINT-001
metadata.updated_at
2026-05-08
metadata.status
stable
inputs
contexts/memory/index.md, contexts/memory/archive/superseded-decisions.archive.md, contexts/memory/decisions/DEC-*.md (frontmatters only)
outputs
lint_report (inline summary of violations + soft warnings)

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .gaai/core/skills/cross/memory-index-lint of digipulse-engineering/GAAI-framework.

Open the folder on GitHubat commit a26ea7a

Compare with similar skills

Memory Index Lint next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Memory Index Lint compared with similar skills
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Summarise Ecosystem Resultsastral-sh/ruff50k1 repos~2.2kAutomated safety check: PassMIT
Minimizing Ty Ecosystem Changesastral-sh/ruff50k—~4.6kAutomated safety check: PassMIT
Babysit PR To Pass CIsgl-project/sglang37k2 repos~3kAutomated safety check: PassApache-2.0
Rust Best Practicesfarm-fe/farm5.6k3 repos~1.1kAutomated safety check: PassMIT

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Categories

Questions about Memory Index Lint

What does Memory Index Lint do?

Validate discoverability invariants of memory index.md and archive/superseded-decisions.archive.md. Memory Index Lint is an agent skill from digipulse-engineering/GAAI-framework.md.

When should I use Memory Index Lint?

Memory Index Lint fits situations like: tasks that involve Linting and formatting.

How do I install Memory Index Lint in Claude Code?

Run `npx skills add digipulse-engineering/GAAI-framework --skill memory-index-lint -a claude-code`. Or copy the skill folder (.gaai/core/skills/cross/memory-index-lint in digipulse-engineering/GAAI-framework) into .claude/skills/memory-index-lint in your project. Claude Code loads it when a task matches its description.

How do I install Memory Index Lint in Codex?

Run `npx skills add digipulse-engineering/GAAI-framework --skill memory-index-lint -a codex`. Or copy the skill folder (.gaai/core/skills/cross/memory-index-lint in digipulse-engineering/GAAI-framework) into .agents/skills/memory-index-lint in your project. Codex loads it when a task matches its description.

Can I use Memory Index Lint in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add digipulse-engineering/GAAI-framework --skill memory-index-lint -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memory-index-lint, .gemini/skills/memory-index-lint, .github/skills/memory-index-lint and .opencode/skills/memory-index-lint in your project.

What does Memory Index Lint need to run?

Going by SKILL.md and its folder, Memory Index Lint needs the command-line tools its instructions call (python3 and claude). Our summary lists: Python 3. Compatibility (from SKILL.md): L3 prompt = any filesystem-based AI coding agent ; L4 script requires Python 3.9+ + Bash access.

Does Memory Index Lint access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Memory Index Lint safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Memory Index Lint use?

Memory Index Lint has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Memory Index Lint use?

About 1.7k tokens (SKILL.md is roughly 6.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Memory Index Lint?

Skills that share tags, products or a category with Memory Index Lint: Install Anti-Slop Oxlint Rules (dmmulroy/anti-slop, 5.3k stars), Summarise Ecosystem Results (astral-sh/ruff, 50k stars), Minimizing Ty Ecosystem Changes (astral-sh/ruff, 50k stars) and Babysit PR To Pass CI (sgl-project/sglang, 37k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Memory Index Lint?

digipulse-engineering (a GitHub organization) maintains it in digipulse-engineering/GAAI-framework, which has 163 GitHub stars. The repository holds 51 skills in this directory. The repository was last updated on September 29, 2026.

Source: digipulse-engineering/GAAI-framework on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.