The AI agent with a wallet — spends USDC autonomously to get real work done. Apache-2.0, TypeScript.
Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add BlockRunAI/Franklin
Maintenance
active
1mo since push
Risk
Safe to try
Quality score needs review
GitHub quality
629
82/100 quality · 83/100 trust
Coverage tags
Review notes
Quality score needs review
Agent adoption scorecard
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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
629 GitHub stars
Repo activity
629 stars, 50 forks
Maintenance
1mo since push
License
Apache-2.0
Install
npx skills add BlockRunAI/Franklin
Install safety
standard package or runtime install path
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Do not use when
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Install targets
Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add BlockRunAI/FranklinAgent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Resolve JSON
/api/agent/resolve?task=Use%20Franklin%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Franklin%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/blockrunai-franklin/install
Agent should check
Copy prompt
Task: Use Franklin in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Franklin%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/blockrunai-franklin/install
Install command: npx skills add BlockRunAI/Franklin
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/blockrunai-franklin/install
LLM text format
/api/skills/blockrunai-franklin/install?format=text
Find alternatives
/api/skills/search?q=Franklin&limit=3
Agent prompt
Use Franklin for this task. Review https://www.openagentskill.com/api/skills/blockrunai-franklin/install, then install with: npx skills add BlockRunAI/FranklinRegistry metadata
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/blockrunai-franklin
LLM text
/api/registry/manifest/blockrunai-franklin?format=text
Install alias
/api/registry/install/blockrunai-franklin
Recommend
/api/registry/recommend?task=Use%20Franklin%20in%20an%20agent%20workflow&limit=3
Agent fit
Finance and quant
Use-case tags
Platforms
TypeScript, LLM, Claude Code
Audit report
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
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
Finance and quant
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
Review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
INFO629 GitHub stars
Stars/forks activity
INFO629 stars, 50 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1mo since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Analyze markets
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Analyze matches
I need my agent to analyze football matches, World Cup data, xG, players, teams, and predictions.
Stack fit
Inspect, patch, and verify code
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Turn skills into distribution
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Ingest, retrieve, and cite
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills in this category, ranked with the same readiness and quality signals.
Build and run autonomous AI agents for open-ended tasks
The agent engineering platform.
The API to search, scrape, and interact with the web at scale. 🔥
The agent that grows with you
The AI agent with a wallet — spends USDC autonomously to get real work done. Apache-2.0, TypeScript.
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Frameworks & Tools
Decision snapshot
629 GitHub stars
Audit snapshot
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the audit before production use.
Growth loop
Scenario-led draft for Franklin, ready for a manual X post.
Finance agents don't need louder takes. They need sources, data, and a repeatable research path. Franklin helps turn market noise into source-backed analysis an agent can reuse. 629 stars https://www.openagentskill.com/skills/blockrunai-franklin?ref=x #AIAgents
Listing + install path for Franklin: https://www.openagentskill.com/skills/blockrunai-franklin?ref=x Install: npx skills add BlockRunAI/Franklin
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This community indexed listing is attributed to BlockRunAI but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/blockrunai-franklin)
[](https://www.openagentskill.com/skills/blockrunai-franklin)
[](https://www.openagentskill.com/skills/blockrunai-franklin/audit)
[](https://www.openagentskill.com/skills/blockrunai-franklin)BlockRunAI
@blockrunai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
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