Mcp Curiosity Engine — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Mcp Curiosity Engine (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
<!-- mcp-name: io.github.onetrueclaude-creator/mcp-curiosity-engine -->
Surface the notes you forgot you wrote — DMN replay for markdown vaults.
Surface the notes you've forgotten you wrote. Uses wikilink graph structure + file mtime to identify dormant notes (low link-in count, old, isolated) and the DMN-inspired replay cycle pattern from cognitive neuroscience: sample dormant notes with bias (40% random / 30% least-linked / 30% orphaned), generate cross-domain bridge queries between them, and surface the unexpected connections. Breaks the confirmation-bias loop where you only revisit the notes you already remember.
pip install mcp-curiosity-engine
# or
uvx mcp-curiosity-engineclaude mcp add mcp-curiosity-engine -- mcp-curiosity-engineAdd to claude_desktop_config.json:
{
"mcpServers": {
"curiosity_engine": {
"command": "uvx",
"args": ["mcp-curiosity-engine"]
}
}
}| Tool | Tier | Description |
|---|---|---|
find_dormant_notes | Free | List notes that are structurally dormant — low incoming wikilink count AND old mtime. These are the notes most at risk of being forgotten. |
find_orphan_notes | Free | List notes with zero incoming wikilinks — structurally isolated, the extreme case of dormancy. |
suggest_replay_cycle | Pro | Run the full DMN-inspired replay cycle: sample dormant notes with bias (40% random / 30% least-linked / 30% orphans), extract their concepts, generate cross-domain bridge queries between them, return notes to revisit. The core moat. |
find_cross_domain_bridges | Pro | Surface pairs of notes from DIFFERENT top-level directories that share concepts. These are the surprise connections — ideas that span your vault's silos. |
random_deep_cut | Pro | Pull a single random dormant note for serendipitous rediscovery. Think of it as your vault's shuffle-play button. |
Unlocks the full DMN replay cycle, cross-domain bridge discovery, and random deep-cut sampling.
License activation — any one of these works:
# 1. Environment variable
export CURIOSITY_ENGINE_LICENSE="eyJhbGc..."
# 2. CLI flag
mcp-curiosity-engine --license-key "eyJhbGc..."
# 3. Config file
echo "eyJhbGc..." > ~/.mcp-curiosity-engine/license.jwtLicenses are verified fully offline — no phone-home, no activation server. Get a license at https://github.com/onetrueclaude-creator/mcp-curiosity-engine#pro-tier.
MIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.