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shadow-frog-update Skill

AI Agent SkillPythonOpen source

Update the shadow knowledge base after code changes and from conversational insights. Detects what changed via git diff, refreshes per-file shadows, captures knowledge shared by the user during the session, and updates cross-cutting discoveries. Invoke manually with /shadow-frog-update; the preToolUse hook will remind Published by microsoft in ShadowFrog.

What is shadow-frog-update Skill?

Update the shadow knowledge base after code changes and from conversational insights. Detects what changed via git diff, refreshes per-file shadows, captures knowledge shared by the user during the session, and updates cross-cutting discoveries. Invoke manually with /shadow-frog-update; the preToolUse hook will remind Published by microsoft in ShadowFrog. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
28/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Developers using ShadowFrog

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use shadow-frog-update Skill

  • Use it for developers using shadowfrog.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/ShadowFrog
  • Skill file: skills/shadow-frog-update/SKILL.md

What it does

Update the shadow knowledge base after code changes and from conversational insights. Detects what changed via git diff, refreshes per-file shadows, captures knowledge shared by the user during the session, and updates cross-cutting discoveries. Invoke manually with /shadow-frog-update; the preToolUse hook will remind

Skill instructions

ShadowFrog Update Updates .shadow/ from two sources: code changes (git diff) and conversational knowledge (what the user said during the session). Prerequisite: .shadow/ exists. Triggers 1. Hook reminder: preToolUse injects a staleness warning when .shadow/meta/state.jsonlastcommit differs from HEAD. The hook only reminds — it does NOT auto-run update. 2. Manual: user invokes /shadow-frog-update Phase 1: Detect Changes bash Read lastcommit defensively: it may be missing, or the literal "none" when init ran without git (e.g. inside a container). git diff none HEAD would abort with "fatal: bad revision 'none'", and a missing key would make $LASTCOMMIT empty so git diff HEAD silently reports the wrong set. LASTCOMMIT=$(python3 -c "import json,sys; print(json.load(sys.stdin).get('lastcommit','none'))" < .shadow/meta/state.json 2/dev/null || echo "none") if git rev-parse --verify "$LASTCOMMIT" /dev/null 2&1; then git diff --name-only "$LASTCOMMIT" HEAD committed changes since last update el

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Frequently asked questions

What is shadow-frog-update?

shadow-frog-update is a open-source AI agent skill with Copy skill directory. Update the shadow knowledge base after code changes and from conversational insights.

Who is shadow-frog-update best for?

shadow-frog-update is best for reusing agent instructions, scripts, and references.

How do I install shadow-frog-update?

Install or run shadow-frog-update using Copy skill directory. Check shadow-frog-update for the latest setup command.

Is shadow-frog-update actively maintained?

shadow-frog-update may need a closer maintenance check before production use.

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Stars
13
Forks
3
Last commit
16 days ago
Repository age
2 months
License
MIT

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