shadow-frog-update

A tool that refreshes the `.shadow/` knowledge base after code changes or new information shared during a conversation.

In plain words
What is it for?
Use it to detect changed files, update their notes, record user-provided knowledge, and refresh findings that apply across multiple files.
Why use it?
It keeps repository notes from becoming stale and warns when they no longer match the current Git commit.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/microsoft/shadowfrog/shadow-frog-update
Any agent
npx skills add microsoft/ShadowFrog --skill shadow-frog-update
Clone the repo
git clone --depth 1 https://github.com/microsoft/ShadowFrog

Made for: Claude Code, Codex.

Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,005 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00074 $0.02005
Opus 5 $0.00037 $0.01002
Sonnet 5 $0.00015 $0.00401
Haiku 4.5 $0.00007 $0.00200

Measured 2d ago against content hash fd447f0637da, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

shadow-frog-update scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/shadow-frog-update/SKILL.md · 202 lines

How it starts

The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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.json#last_commit differs from HEAD. The hook only reminds — it does NOT auto-run update.
  2. Manual: user invokes /shadow-frog-update

Phase 1: Detect Changes

# Read last_commit 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 $LAST_COMMIT empty so `git diff HEAD` silently reports the wrong set.
LAST_COMMIT=$(python3 -c "import json,sys; print(json.load(sys.stdin).get('last_commit','none'))" < .shadow/_meta/state.json 2>/dev/null || echo "none")
if git rev-parse --verify "$LAST_COMMIT" >/dev/null 2>&1; then
    git diff --name-only "$LAST_COMMIT" HEAD   # committed changes since last update
else
    echo "WARNING: state.json has no usable last_commit — falling back to a full re-scan."
fi
git diff --name-only HEAD                       # uncommitted changes
git diff --name-only --cached                   # staged changes

Categorize: modified, added, deleted, renamed.

Phase 2: Update Per-File Shadows (Symbol-Level)

For each changed file, update its shadow at the symbol level:

  • Added symbols → add new ## section
  • Removed symbols → mark section as REMOVED, keep discoveries for history
  • Renamed symbols → update heading, preserve discoveries
  • Modified symbols → check if discoveries still hold

Lightweight update (auto/hook): re-extract symbols, update headings, flag stale. Deep update (manual/dream): read diffs, generate new discoveries, verify existing ones.

Phase 3: Capture Conversational Knowledge

When the user shares knowledge during the session, write it immediately. Do not batch for later.

Read the full file on GitHub · 202 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 202 lines · 74 tokens per session scan A fd447f0637da

Subscribe to this mod's changes

shadow-frog-update is a skill published in the GitHub repository microsoft/ShadowFrog (21 stars, last pushed 13d ago), licensed MIT. It adds 74 tokens to every session and 2,005 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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