hmbown/legend-lore
generated/openclaw/legend-lore/SKILL.md
Use this spell when you need everything knowable about a person, company, library, framework, concept, or system — not a quick answer, but a deep dossier.
$ install --global
skillsauthnpx skillsauth add hmbown/wizards-of-the-ghosts legend-loreInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 24, 2026, 8:37 PM1.8s1 file scanned
SKILL.md
- name:
- legend-lore
- description:
- Use this spell when you need everything knowable about a person, company, library, framework, concept, or system — not a quick answer, but a deep dossier.
- user-invocable:
- true
Legend Lore
Research any named entity exhaustively across all available sources.
Overview
Legend Lore is interpreted here as a metaphorical spell with a shipping-now execution model.
Canonical source: Legend Lore (spell)
Provider target: OpenClaw
When To Use
- You have a name or identifier and need comprehensive background before making a decision.
- A quick search is insufficient — you need cross-referenced depth from docs, repos, papers, and web.
- You are entering unfamiliar territory and want the full map before acting.
Workflow
- Accept the named subject and any known context or constraints on scope.
- Search exhaustively across documentation, source code, academic papers, web, and community knowledge.
- Cross-reference findings and resolve contradictions between sources.
- Return a structured dossier with sourced claims, confidence levels, and identified gaps.
Deliverables
- A comprehensive, sourced research dossier on the named subject.
- A confidence-rated summary distinguishing established facts from community consensus from speculation.
- A list of known unknowns and suggested next research steps.
Guardrails
- Cite sources for all non-trivial claims. Do not present inference as established fact.
- Respect access boundaries — do not attempt to access paywalled, private, or restricted sources without authorization.
Default Invocation
Use $legend-lore to build a comprehensive research dossier on this subject, with sourced claims and confidence levels.
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