Agent skill

Fact Sheet Discovery and Sync

by av in av/mi

Scans a codebase to tag every fact as draft, spec or implemented based on what the code actually shows, adding missing facts and fixing or removing wrong ones.

No licenceAuto-check passedAgent Workflows

Install Fact Sheet Discovery and Sync

skills CLI
$ npx skills add av/mi --skill facts-discover -a claude-code

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

GitHub CLI
$ gh skill install av/mi facts-discover --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/av/mi.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/facts-discover .claude/skills/facts-discover && 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
facts-discover
GitHub stars
102
Token cost
~2.8k tokens
SKILL.md length
1,189 words
Files
1
Skills in repo
20
Repo updated
First seen
Licence
None found

At a glance

Scans a codebase to tag every fact as draft, spec or implemented based on what the code actually shows, adding missing facts and fixing or removing wrong ones.

  • Works in 6 steps: Load the current fact sheet → Scan the codebase → Classify facts by lifecycle stage → …
  • Auditing an existing fact sheet for accuracy against the current code
  • SKILL.md covers When to use this skill, Goal, Process and Guidelines, plus 1 more section
  • Calls jq, cargo and npm

What it does

The skill acts as a fact sheet maintainer, classifying each fact by lifecycle stage in a single session: draft for a vague, high-level claim that still needs refinement, spec for a precise claim the code does not yet back up, implemented for a claim the codebase proves true, and untagged for ground truth already verified by observation. It is only meant to run when the user explicitly asks to discover, audit or sync facts, not when they want to define new spec, which belongs to a separate facts skill.

It starts by running facts list to see the current sheet and facts check to see which command-backed facts pass or fail, since failing facts are candidates for removal or correction. Each manual fact, marked with a question mark in the output, is checked against the relevant code rather than trusted on its label alone, because manual facts often describe behavior that resists simple automated validation.

A validation command is only added when it genuinely tests the claim: a command that always passes regardless of truth is called worse than no command at all, so a manual fact with no useful check is preferred over a false sense of safety. Short CLI aliases like ll, at, rt, rm and ls speed up the high-frequency operations once the scan is underway.

When your agent uses it

  • Auditing an existing fact sheet for accuracy against the current code
  • Bootstrapping a first fact sheet for a codebase with none yet
  • Removing obsolete facts after a feature was changed or removed

Example prompts

  • “Audit the fact sheet against the current codebase and fix anything wrong.”
  • “Discover facts for the payments module and tag them by lifecycle stage.”
  • “Sync the fact sheet after we removed the legacy auth flow.”

Requirements

  • The facts CLI

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Load the current fact sheet
  2. Scan the codebase
  3. Classify facts by lifecycle stage
  4. Add missing facts
  5. Organize
  6. Validate and report

What it can do on your machine

Read from SKILL.md and the folder at commit 2bf50c9. 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:

    • jq
    • cargo
    • npm

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

  • Network

    No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.

    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.

Context cost

Fact Sheet Discovery and Sync loads about 2.8k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 1,189 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 1,189 words (~2,772 tokens).

“You are a fact sheet maintainer. Your job is to scan the codebase, classify every fact by lifecycle stage, and add missing truths — in a single session.”

— opening of SKILL.md by av
name
facts-discover

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/facts-discover of av/mi.

Open the folder on GitHubat commit 2bf50c9

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in av/mi, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Fact Sheet Discovery and Sync 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.

Fact Sheet Discovery and Sync compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fact Sheet Discovery and Sync this skillav/mi102—~2.8kAutomated safety check: PassNone
OpenSpec Guided OnboardingFission-AI/OpenSpec71k1 repos~4.5kAutomated safety check: PassMIT
Brainstorming Before BuildingjnMetaCode/superpowers-zh8.3k—~1.8kAutomated safety check: PassMIT
Readyprekuter/dryforge4131 repos~6.8kAutomated safety check: PassApache-2.0
Spec Driven Developzhu1090093659/deepseek-pp1.9k—~6.9kAutomated safety check: PassApache-2.0
GSD Plan Importopen-gsd/gsd-core10k2 repos~1kAutomated safety check: NotesMIT

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Categories

Questions about Fact Sheet Discovery and Sync

What does Fact Sheet Discovery and Sync do?

Scans a codebase to tag every fact as draft, spec or implemented based on what the code actually shows, adding missing facts and fixing or removing wrong ones. The skill acts as a fact sheet maintainer, classifying each fact by lifecycle stage in a single session: draft for a vague, high-level claim that still needs refinement, spec for a precise claim the code does not yet back up, implemented for a claim the codebase proves true, and untagged for ground truth already verified by observation. It is only meant to run when the user explicitly asks to discover, audit or sync facts, not when they want to define new spec, which belongs to a separate facts skill.

When should I use Fact Sheet Discovery and Sync?

Fact Sheet Discovery and Sync fits situations like: auditing an existing fact sheet for accuracy against the current code; bootstrapping a first fact sheet for a codebase with none yet; removing obsolete facts after a feature was changed or removed.

How do I install Fact Sheet Discovery and Sync in Claude Code?

Run `npx skills add av/mi --skill facts-discover -a claude-code`. Or copy the skill folder (.agents/skills/facts-discover in av/mi) into .claude/skills/facts-discover in your project. Claude Code loads it when a task matches its description.

How do I install Fact Sheet Discovery and Sync in Codex?

Run `npx skills add av/mi --skill facts-discover -a codex`. Or copy the skill folder (.agents/skills/facts-discover in av/mi) into .agents/skills/facts-discover in your project. Codex loads it when a task matches its description.

Can I use Fact Sheet Discovery and Sync 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 av/mi --skill facts-discover -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/facts-discover, .gemini/skills/facts-discover, .github/skills/facts-discover and .opencode/skills/facts-discover in your project.

What does Fact Sheet Discovery and Sync need to run?

Going by SKILL.md and its folder, Fact Sheet Discovery and Sync needs the command-line tools its instructions call (jq, cargo and npm). Our summary lists: The facts CLI.

Does Fact Sheet Discovery and Sync access the network?

SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Fact Sheet Discovery and Sync 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 Fact Sheet Discovery and Sync use?

No licence was found for Fact Sheet Discovery and Sync or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Fact Sheet Discovery and Sync use?

About 2.8k tokens (SKILL.md is roughly 11k 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 Fact Sheet Discovery and Sync?

Skills that share tags, products or a category with Fact Sheet Discovery and Sync: OpenSpec Guided Onboarding (Fission-AI/OpenSpec, 71k stars), Brainstorming Before Building (jnMetaCode/superpowers-zh, 8.3k stars), Ready (prekuter/dryforge, 413 stars) and Spec Driven Develop (zhu1090093659/deepseek-pp, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fact Sheet Discovery and Sync?

av (a GitHub user) maintains it in av/mi, which has 102 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on September 26, 2026.

Source: av/mi on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.