mcpbeat

Shadow Frog Viewer

microsoft/shadow-frog-viewer

>- or symbols or text, view preferences, or see recent discoveries. Invoke when the user wants to see what's in the shadow, get an overview, or find specific knowledge.

22k tokens
context cost
the whole folder, loaded on every use
3
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
17
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/microsoft/ShadowFrog --skill shadow-frog-viewer

What comes with it

80 955 bytes besides the instruction
dream-lineage.py
shadow-viewer.py

What it tells the agent to use

found in the instruction text
Bash runs shell commands — read the instruction before connecting

The instruction itself

12 sections, as written by the author

ShadowFrog Viewer

Query and browse .shadow/ content. Prerequisite: .shadow/ exists.

Primary: Python Helper Script

The companion script shadow-viewer.py lives in the same directory as

this SKILL.md file. To find and run it:

# Project install (Copilot CLI):
python3 .github/skills/shadow-frog-viewer/shadow-viewer.py [options]
# Or for Claude Code:
python3 .claude/skills/shadow-frog-viewer/shadow-viewer.py [options]

Available Views

| Command | What it shows |

|---------|--------------|

| --summary | Overview: counts, source/status/label breakdown, per-file table, cross-cutting titles (default) |

| --search QUERY | Universal search — matches file names, symbol names, and discovery text. Includes cross-cutting and preferences |

| --prefs | Project-wide preferences |

| --recent [N] | N most recent discoveries with full content (default: 10) |

| --labels LABEL | Discoveries filtered by label (e.g., bug, security, bug,performance) |

| --top FILE | Top actionable discoveries for FILE — concise output (default: 3 entries, ~600 chars) suitable for the preToolUse hook. Includes both per-file shadow entries and any _cross/ discoveries that reference FILE. Verified discoveries rank first. |

| --check-invariants | Audit structural integrity — bidirectional cross-references, label/source/category enum compliance, heading format, no-orphan-back-pointer. Exits 0 if clean, 1 with one violation per line. Run after dream reconciliation or before commit. |

No arguments defaults to --summary.

Options

| Flag | Effect |

|------|--------|

| --shadow-dir DIR | Override .shadow/ location (default: auto-detect from CWD) |

| --top-labels LABELS | Comma-separated label filter for --top (default: bug,security). Empty string disables label filtering. |

| --top-limit N | Max discoveries to show in --top (default: 3) |

| --top-max-chars N | Hard cap on --top total output length (default: 600). Use 0 for no cap. |

Examples

# Quick overview
python3 shadow-viewer.py

# Everything about auth (files, symbols, text, cross-cutting)
python3 shadow-viewer.py --search auth

# Find token-related knowledge
python3 shadow-viewer.py --search "token expiry"

# 5 most recent discoveries
python3 shadow-viewer.py --recent 5

# All known bugs
python3 shadow-viewer.py --labels bug

# Security and performance issues
python3 shadow-viewer.py --labels security,performance

# Top actionable discoveries for a single file (used by the preToolUse hook)
python3 shadow-viewer.py --top src/auth.py

# Same, but broaden label filter and show up to 5 entries
python3 shadow-viewer.py --top src/auth.py --top-labels bug,security,performance --top-limit 5

# Team preferences
python3 shadow-viewer.py --prefs

# Structural audit (run before commits or after dream reconciliation)
python3 shadow-viewer.py --check-invariants

Dream Lineage Visualization

The companion script dream-lineage.py generates an interactive HTML

visualization of the dream experiment tree. It reads _dreams/_index.md

and experiment reports to produce a self-contained HTML file.

# (Claude Code users: replace .github/skills with .claude/skills below)

# Generate dream-lineage.html in the current directory
python3 .github/skills/shadow-frog-viewer/dream-lineage.py

# Custom output path
python3 .github/skills/shadow-frog-viewer/dream-lineage.py -o my-lineage.html

# Explicit shadow directory
python3 .github/skills/shadow-frog-viewer/dream-lineage.py --shadow-dir /path/to/.shadow

The HTML file has three tabs:

  • 🌳 Chains — compounding chains as tree cards, sorted by depth
  • 📋 Fresh — non-compounding experiments grouped by category
  • 🗂️ Full Tree — compact view of the entire lineage in one tree

Each node shows the experiment's category icon, name, verdict, test count,

and discovery count. Click "▶ Show report" to expand the full experiment

report inline.

Fallback: Shell One-Liners

If the Python script fails to execute (wrong Python version, missing

file, permission error, etc.), fall back to these shell commands:

Summary

Note: shell discovery counts are approximate (may include cross-reference links).

echo "Files: $(find .shadow -name '*.md' -not -path '*/_cross/*' -not -path '*/_meta/*' -not -path '*/_dreams/*' -not -name '_index.md' -not -name '_prefs.md' | wc -l | tr -d ' ')"
echo "Discoveries: $(find .shadow -name '*.md' -not -path '*/_cross/*' -not -path '*/_meta/*' -not -path '*/_dreams/*' -not -name '_index.md' -not -name '_prefs.md' -exec grep -c '^\- ' {} \; 2>/dev/null | awk '{s+=$1} END {print s+0}')"
echo "Cross-cutting: $(ls .shadow/_cross/*.md 2>/dev/null | wc -l | tr -d ' ')"
python3 -c "import json; d=json.load(open('.shadow/_meta/state.json')); print(f'Last update: {d[\"last_update_at\"]} ({d[\"last_update_type\"]})')"
grep -rn "QUERY" .shadow/ --include="*.md"

Preferences

cat .shadow/_prefs.md

Recent

# macOS
find .shadow -name '*.md' -not -path '*/_meta/*' -exec stat -f '%m %N' {} \; | sort -rn | head -10 | while read ts f; do echo "$(date -r "$ts" '+%Y-%m-%d %H:%M') $f"; done

# Linux
find .shadow -name '*.md' -not -path '*/_meta/*' -printf '%T@ %p\n' | sort -rn | head -10 | while read ts f; do echo "$(date -d @"${ts%%.*}" '+%Y-%m-%d %H:%M') $f"; done

Responding to the User

After running a view, present the results clearly:

  • For --summary: show the output directly, highlight anything notable
  • For --search: summarize key findings, group by relevance
  • For --recent: present the discoveries conversationally
  • For --top: typically called by the preToolUse hook before a file is

edited; output is intentionally short and pre-formatted. If invoked

manually, present as-is.

  • If the shadow is empty or has no discoveries, suggest running

/shadow-frog-dream to populate it

How to use it

Copy the folder

Take microsoft/shadow-frog-viewer from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.