intelligence/hermes-search
Skill10 starsChanged 2 months agoMITView on GitHub
Use when you need to find, retrieve, or research anything across vaults, repos, or the web — executes semantic search with full provenance, deduplicates across sources, flags contradictions, and returns ranked results sourced to the exact vault atom, file, or URL. Default skill for Starlight Hermes; callable by all agents.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- Arcanea-Labs/Starlight-Intelligence-Systemword for word, first seen Nov 8, 2026
Other versions1 project uses a version of this.
Word for word · 1
- Arcanea-Labs/Starlight-Intelligence-System★ 10100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository49 other files it gives its agents.
- AGENTS.mdAGENTS.md
- site/AGENTS.mdAGENTS.md
- .claude/hooks/CLAUDE.mdCLAUDE.md
- CLAUDE.mdCLAUDE.md
- site/CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- .cursor/rules/editorial.mdcCursor rule
- .cursor/rules/starlight-agents.mdcCursor rule
- .cursor/rules/starlight-core.mdcCursor rule
- .cursor/rules/starlight-memory.mdcCursor rule
- .cursor/rules/starlight-voice.mdcCursor rule
- frank-brand-editorSkill
- agent-hygieneSkill
- estate-guardSkill
- SKILL.mdSkill
- crypto-intelligenceSkill
- agent-forgeSkill
- skill-forgeSkill
- system-forgeSkill
- taste-engineSkill
- integration/ecosystem-syncSkill
- integration/repo-bridgeSkill
- integration/transmission-protocolSkill
- integration/universal-adapterSkill
- intelligence/decision-frameworkSkill
- intelligence/pattern-recognitionSkill
- intelligence/strategic-reasoningSkill
- intelligence/systems-thinkingSkill
- heartSkill
- storageSkill
- memory/capture-disciplineSkill
- memory/context-preservationSkill
- memory/insight-distillationSkill
- memory/knowledge-synthesisSkill
- memory/memory-consolidationSkill
- sis-memory-orchestratorSkill
- memory/vault-managementSkill
- agent-creatorSkill
- orchestration/context-engineeringSkill
- orchestration/gencreator-stackSkill
- orchestration/hermes-swarmSkill
- orchestration/multi-agent-coordinationSkill
- orchestration/parallel-executionSkill
- orchestration/workflow-designSkill
- workflow-skill-creatorSkill
- safety/mutation-approvalSkill
- safety/permission-gateSkill
- safety/private-public-splitSkill
- safety/secret-detectorSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 110
When a search is scoped to a private namespace, Sentinel Claw is notified and the scope is logged.
- Distinctive: line 116
Agents: All agents can invoke Hermes Search as a sub-skill.
- Very specific: line 122
Vaults: Read-only across all six substrate vaults.
- Distinctive: line 128
Every result includes a source (vault name + atom ID, or file path, or URL)
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Hermes Search
Find exactly what you need — from vaults, repos, or the web — with full provenance.
When This Skill Activates
- Keywords: "search", "find me", "where is", "look up", "retrieve", "what do we know", "source check", "provenance", "research", "what did we decide", "trace", "find pattern", "cross-vault", "multi-source"
- Commands:
/search,/research,/find-pattern,/audit-coverage,/trace-provenance,/find-contradiction,/source-check - Agents:
starlight-hermes(primary),starlight-prime,starlight-sage,starlight-genius,starlight-orchestrator - Intents: search, retrieval, research, provenance, audit
What This Skill Does
Hermes Search is the retrieval engine for the SIS substrate. It routes queries to the right source, executes parallel searches, deduplicates and ranks results, flags contradictions, and returns every result with a full provenance chain.
This skill is read-only. It never writes to vaults, repos, or external systems.
Procedures
Procedure 1: Vault Search
1. Decompose query into search terms + intent
2. Route to relevant vaults (all 6 by default, or scoped by context)
3. Execute BM25 full-text + semantic similarity
4. Rank results by: relevance × recency × confidence
5. Deduplicate by content hash
6. Return results with: vault name, atom ID, date, confidence, contributing agentProcedure 2: Cross-Repo Search
1. Identify repos to search (current + linked via GitHub MCP)
2. Execute code/docs/issue search via GitHub MCP
3. Surface: file path, line number, commit date, author
4. Rank by: relevance × recency × repo authority
5. Return results with full GitHub provenance chainProcedure 3: Web Research
1. Only when local sources are exhausted or explicitly requested
2. Decompose query into search terms
3. Execute structured search (not raw scrape)
4. Apply credibility filter: prefer primary sources, official docs, peer-reviewed
5. Return ranked results with: URL, date, credibility signal, snippetProcedure 4: Multi-Source Synthesis
1. Execute vault + repo + web searches in parallel
2. Merge results from all sources
3. Deduplicate across sources (same fact from multiple sources → highest-authority wins)
4. Run contradiction check: do any results conflict?
- If yes: flag contradiction explicitly. Do NOT silently resolve.
5. Rank merged set by: relevance × source authority × cross-corroboration count
6. Synthesize into a single answer with inline source citations
7. Preserve uncertainty: if confidence is below threshold, say soProcedure 5: Contradiction Detection
1. Given a set of facts (from vault search or provided by caller)
2. Compare each fact against others for direct contradiction
3. Flag: fact A says X, fact B says NOT-X — source chain for both
4. Do NOT pick a winner
5. Surface to user / requesting agent for resolution
6. Log contradiction in Operational Vault for Memory Claw reviewProcedure 6: Coverage Audit
1. Given a topic or domain
2. Search all vaults for existing coverage
3. List what exists (with sources and confidence)
4. List what is absent (known gaps)
5. Rate coverage: sparse / partial / substantial / comprehensive
6. Recommend: which agent + Claw should fill the gapsPrivacy Boundaries
| Namespace | Default scope |
| Strategic, Technical, Creative, Operational, Wisdom, Horizon | ✅ Included by default |
second-brain/ | ❌ Excluded unless explicitly scoped |
health/ | ❌ Excluded unless explicitly scoped |
business/ | ❌ Excluded unless explicitly scoped |
relational/ | ❌ Excluded unless explicitly scoped |
When a search is scoped to a private namespace, Sentinel Claw is notified and the scope is logged.
Integration Points
Agents: All agents can invoke Hermes Search as a sub-skill. Hermes agent is the primary activator but any agent can call it.
Claws: Genius Claw uses Hermes to mine the personal corpus. Reclamation Claw uses Hermes to detect duplicates. Attestation Claw uses Hermes to surface prior attestation records. Memory Claw uses Hermes to avoid duplicate vault writes.
MCP: Uses sis-memory-mcp for vault read, GitHub MCP for cross-repo search, browser/web MCP for research (optional).
Vaults: Read-only across all six substrate vaults. Write path is Memory Claw → sis-memory-mcp.
Quality Criteria
- Every result includes a source (vault name + atom ID, or file path, or URL)
- Contradictions are flagged, not silently resolved
- Confidence is calibrated (not inflated to satisfy the query)
- Privacy boundaries are respected
- Results are ranked, not dumped raw
- The answer distinguishes between "found in vault" (high confidence) and "found on web" (lower confidence)
Read-only · Provenance-first · Contradiction-surfacing · Built on SIP
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Your trail
Files you open will collect here, so you can find them again.
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