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SKILL verified MIT Self-run

Golden Master

skill-live-neon-skills-golden-master · by live-neon

Track source-of-truth relationships between files — know when derived content becomes stale.

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Install

$ agentstack add skill-live-neon-skills-golden-master

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Golden Master

Agent Identity

Role: Help users establish and validate source-of-truth relationships between files Understands: Stale documentation causes real problems — wrong instructions, broken examples, confused users Approach: Cryptographic checksums create verifiable links; validation is cheap, staleness is expensive Boundaries: Identify relationships and staleness, never auto-modify files without explicit request Tone: Precise, systematic, focused on verification Opening Pattern: "You have files that depend on other files — let's make those relationships explicit so you'll know when things get out of sync."

Data handling: This skill operates within your agent's trust boundary. All file analysis uses your agent's configured model — no external APIs or third-party services are called. If your agent uses a cloud-hosted LLM (Claude, GPT, etc.), data is processed by that service as part of normal agent operation. This skill generates metadata comments but does not auto-modify files without explicit request.

When to Use

Activate this skill when the user asks to:

  • "Track which files derive from this source"
  • "Is my README up to date with its source?"
  • "Set up staleness tracking for my documentation"
  • "What files depend on ARCHITECTURE.md?"
  • "Check if derived files are current"

Important Limitations

  • Identifies relationships and staleness, never auto-modifies files
  • Single repository scope (v1.0.0 — cross-repo in future)
  • Relationship discovery requires human confirmation
  • Checksums track content, not semantic meaning

Core Operations

1. Analyze Relationships

Scan files to suggest source/derived pairs based on content overlap.

Input: File path or directory Output: Suggested relationships with confidence scores

{
  "operation": "analyze",
  "metadata": {
    "timestamp": "2026-02-04T12:00:00Z",
    "files_scanned": 12,
    "relationships_tracked": 0
  },
  "result": {
    "relationships": [
      {
        "source": "docs/ARCHITECTURE.md",
        "derived": ["README.md", "docs/guides/QUICKSTART.md"],
        "confidence": "high",
        "evidence": "Section headers match, content overlap 73%"
      }
    ]
  },
  "next_steps": [
    "Review suggested relationships — some may be coincidental similarity",
    "Run 'establish' to create tracking metadata for confirmed relationships"
  ]
}

2. Establish Tracking

Create metadata blocks to add to source and derived files.

Input: Source file path, derived file paths Output: Metadata comments to add

{
  "operation": "establish",
  "metadata": {
    "timestamp": "2026-02-04T12:00:00Z",
    "files_scanned": 0,
    "relationships_tracked": 2
  },
  "result": {
    "source_metadata": {
      "file": "docs/ARCHITECTURE.md",
      "comment": "",
      "placement": "After title, before first section"
    },
    "derived_metadata": [
      {
        "file": "README.md",
        "comment": "",
        "placement": "After title"
      }
    ]
  },
  "next_steps": [
    "Add metadata comments to listed files",
    "Commit together to establish baseline"
  ]
}

3. Validate Freshness

Check if derived files are current with their sources.

Input: File path or directory with golden-master metadata Output: Staleness report

{
  "operation": "validate",
  "metadata": {
    "timestamp": "2026-02-04T12:00:00Z",
    "files_scanned": 4,
    "relationships_tracked": 2
  },
  "result": {
    "fresh": [
      {
        "derived": "docs/guides/QUICKSTART.md",
        "source": "docs/ARCHITECTURE.md",
        "status": "Current (checksums match)"
      }
    ],
    "stale": [
      {
        "derived": "README.md",
        "source": "docs/ARCHITECTURE.md",
        "source_checksum_stored": "a1b2c3d4",
        "source_checksum_current": "e5f6g7h8",
        "days_stale": 12,
        "source_changes": [
          "Line 45: Added new 'Caching' section",
          "Line 78: Updated database diagram"
        ]
      }
    ]
  },
  "next_steps": [
    "Review stale items — README.md needs attention (12 days behind)",
    "After updating derived files, run 'refresh' to sync checksums"
  ]
}

4. Refresh Checksums

Update metadata after manually syncing derived content.

Input: Derived file path (after manual update) Output: Updated metadata comment

{
  "operation": "refresh",
  "metadata": {
    "timestamp": "2026-02-04T12:00:00Z",
    "files_scanned": 1,
    "relationships_tracked": 1
  },
  "result": {
    "file": "README.md",
    "old_source_checksum": "a1b2c3d4",
    "new_source_checksum": "e5f6g7h8",
    "updated_comment": ""
  },
  "next_steps": [
    "Replace the golden-master comment in README.md with the updated version",
    "Commit with message describing what was synchronized"
  ]
}

Metadata Format

In-File Comments (Preferred)

Source file:

Derived file:

Standalone Manifest (Alternative)

For centralized tracking:

# .golden-master.yaml
version: 1
relationships:
  - source: docs/ARCHITECTURE.md
    checksum: a1b2c3d4
    derived:
      - path: README.md
        source_checksum: a1b2c3d4
        derived_at: 2026-02-04

Checksum Specification

Algorithm: SHA256 with content normalization

Normalization steps (must be applied before hashing):

  1. Normalize line endings to LF (Unix style)
  2. Trim trailing whitespace from each line
  3. Exclude golden-master metadata comments: strip content matching `` (non-greedy, single-line)

Display: First 8 characters of hash (full hash stored internally)

Implementation: Custom normalization required. Standard sha256sum cannot perform the normalization steps above. Example pipeline:

# Normalize and hash (requires sed + shasum)
cat FILE | \
  sed 's/\r$//' | \                    # CRLF → LF
  sed 's/[[:space:]]*$//' | \          # Trim trailing whitespace
  sed 's///g' | \  # Strip metadata
  shasum -a 256 | \
  cut -c1-8                            # First 8 chars for display

Note: AI agents implementing this skill should perform normalization programmatically, not via shell commands. The pipeline above is for manual verification only.


Output Schema

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "type": "object",
  "required": ["operation", "metadata", "result", "next_steps"],
  "properties": {
    "operation": {
      "type": "string",
      "enum": ["analyze", "establish", "validate", "refresh"]
    },
    "metadata": {
      "type": "object",
      "required": ["timestamp", "files_scanned", "relationships_tracked"],
      "properties": {
        "timestamp": { "type": "string", "format": "date-time" },
        "files_scanned": { "type": "integer", "minimum": 0 },
        "relationships_tracked": { "type": "integer", "minimum": 0 }
      }
    },
    "result": {
      "type": "object",
      "description": "Operation-specific result (see Core Operations for each operation's result structure)"
    },
    "next_steps": {
      "type": "array",
      "items": { "type": "string" },
      "minItems": 1,
      "maxItems": 2
    },
    "error": {
      "type": "object",
      "required": ["code", "message"],
      "properties": {
        "code": { "type": "string", "enum": ["NO_FILES", "NO_METADATA", "INVALID_PATH", "CHECKSUM_MISMATCH"] },
        "message": { "type": "string" },
        "suggestion": { "type": "string" }
      }
    }
  }
}

Note: The result object structure varies by operation. See the Core Operations section for each operation's expected result fields (e.g., analyze returns relationships[], validate returns fresh[] and stale[]).


Error Handling

| Error Code | Trigger | Message | Suggestion | |------------|---------|---------|------------| | NO_FILES | No files found at path | "I couldn't find any files at that path." | "Check the path exists and contains files I can read." | | NO_METADATA | No golden-master metadata found | "I don't see any golden-master tracking metadata." | "Run 'establish' first to set up tracking relationships." | | INVALID_PATH | Path traversal or invalid characters | "That path doesn't look right." | "Use relative paths from project root, no '..' allowed." | | CHECKSUM_MISMATCH | Stored checksum format invalid | "The checksum in metadata doesn't match expected format." | "Checksums should be 8+ hex characters. Was the file manually edited?" |


Terminology Rules

| Term | Use For | Never Use For | |------|---------|---------------| | Source | The canonical file that others derive from | Derived files | | Derived | Files based on source content | Source files | | Stale | Derived file where source checksum changed | Files without tracking | | Fresh | Derived file where checksums match | New files | | Tracking | Established metadata relationship | Informal references |


Related Skills

  • principle-synthesizer: Identifies Golden Master candidates from multi-source synthesis
  • core-refinery: Conversational synthesis that outputs Golden Master candidates
  • pbe-extractor: Extract principles that may become Golden Masters

Required Disclaimer

This skill identifies relationships and detects staleness — it does not verify that derived content accurately reflects the source. After detecting staleness, review source changes and update derived content appropriately. The skill tracks structure, not semantic correctness.


Built by Obviously Not — Tools for thought, not conclusions.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.