QuantLib
The QuantLib C++ library
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Production candidateStrong trust signals across adoption, maintenance, install readiness, and review status.
Audit
Safe to tryInstall readiness, security metadata, maintenance, and adoption risk.
Agent safety v2
79/100 · Review before install
Safety v2 estimates whether an agent should auto-install this skill by combining audit risk, install readiness, inferred permission surface, and policy constraints.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
- License is unclear
Install targets
Install this skill in your agent workflow
Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add lballabio/QuantLibAgent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/lballabio-quantlib/install
LLM text format
/api/skills/lballabio-quantlib/install?format=text
Find alternatives
/api/skills/search?q=QuantLib&limit=3
Agent prompt
Use QuantLib for this task. Review https://www.openagentskill.com/api/skills/lballabio-quantlib/install, then install with: npx skills add lballabio/QuantLibRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/lballabio-quantlib
LLM text
/api/registry/manifest/lballabio-quantlib?format=text
Install alias
/api/registry/install/lballabio-quantlib
Recommend
/api/registry/recommend?task=Use%20QuantLib%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
C++, Finance, Claude Code
Audit report
Safe to try · 95/100
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Primary pick for RAG and knowledge
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
RAG and knowledge
Trust label
Production-ready
Install path
Command ready
Use when
- RAG and knowledge workflows
- Claude Code teams
- teams that value GitHub adoption signals
Evidence
- 7,227 GitHub stars
- recent repository activity
- install command or GitHub repo available
- 100/100 quality profile
Review first
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one RAG and knowledge task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Production candidate
Strong trust signals across adoption, maintenance, install readiness, and review status.
Ownership
PASSListing manually verified
Install path
PASSnpx skills add lballabio/QuantLib
Repository
PASShttps://github.com/lballabio/QuantLib
License
CHECKUnknown
Good signals
- Manually verified listing
- AI review approved
- Recently maintained repository
- Large GitHub adoption signal
Review before install
- License is unclear
- Documentation summary is thin
Recommended action
Shortlist for production use, then run a normal repository and dependency review.
Quality profile
Excellent candidate for agent workflows
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Use this skill in these scenarios
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Stack fit
Add it to a complete workflow
Ingest, retrieve, and cite
RAG knowledge base
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
Content growth agent
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
Coding review agent
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
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Overview
The QuantLib C++ library
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- Unknown
- Last Updated
- 6/12/2026
- Published
- 6/12/2026
Frameworks & Tools
Decision snapshot
Primary pick
7,227 GitHub stars
Audit Snapshot
Install and adoption review
- Security
- 79/100
- Maintenance
- 100/100
- Install
- 92/100
Growth loop
Share this skill
Scenario-led draft for QuantLib, with the OpenAgentSkill Update theme and canonical URL.
OpenAgentSkill Update Today: QuantLib Use it when you want your coding agent to carry more repo context and ship repetitive changes faster. 7.2K stars - finance Link: https://www.openagentskill.com/skills/lballabio-quantlib?ref=x #AIAgents #OpenAgentSkill
Optional reply with install command
Link for QuantLib: https://www.openagentskill.com/skills/lballabio-quantlib?ref=x Install: npx skills add lballabio/QuantLib
Are you the maintainer?
Claim this listing to add a verified owner signal and make future launch, install, and audit updates easier to trust.
README badge
Add this badge to your GitHub README to show the listing, trust score, and install handoff.
[](https://www.openagentskill.com/skills/lballabio-quantlib)Author
lballabio✓
@lballabio
Platform Fit
Health Signals
- GitHub stars
- 7.2K
- Quality score
- 69/100
- Last GitHub push
- Jun 11, 2026
- Framework hints
- 2
- OpenAgentSkill views
- 0
- Install copies
- 0
- Outbound clicks
- 0
Community Signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & Safety
Production candidate
- OwnershipListing manually verifiedPASS
- Install pathnpx skills add lballabio/QuantLibPASS
- Repositoryhttps://github.com/lballabio/QuantLibPASS
- LicenseUnknownCHECK
- MaintenancePushed todayPASS
- AI reviewApproved with no listed issuesPASS
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