Specify a github or local repo, github pull request, arXiv or Sci-Hub paper, Youtube transcript or documentation URL on the web and scrape into a text file and clipboard for easier LLM ingestion
Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add jimmc414/onefilellm
Maintenance
active
1mo since push
Risk
Safe to try
No major risk signals from available metadata
GitHub quality
2.0K
100/100 quality · 87/100 trust
Coverage tags
Review notes
No major risk signals from available metadata
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
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
2.0K GitHub stars
Repo activity
2.0K stars, 176 forks
Maintenance
1mo since push
License
MIT
Install
npx skills add jimmc414/onefilellm
Install safety
standard package or runtime install path
Permission surface
filesystem or document access, network or browser access
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
Alternative
53.0K stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K stars
npx skills add assafelovic/gpt-researcher
Alternative
19.1K stars
npx skills add dzhng/deep-research
Agent safety v2
Strong metadata, audit, install, and review signals. Suitable for agent shortlists after normal workspace review.
Allow agent install in a sandbox or low-risk workspace, then promote after one successful narrow task.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
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 jimmc414/onefilellmAgent 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%20Onefilellm%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Onefilellm%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/jimmc414-onefilellm/install
Agent should check
Copy prompt
Task: Use Onefilellm in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Onefilellm%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jimmc414-onefilellm/install
Install command: npx skills add jimmc414/onefilellm
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/jimmc414-onefilellm/install
LLM text format
/api/skills/jimmc414-onefilellm/install?format=text
Find alternatives
/api/skills/search?q=Onefilellm&limit=3
Agent prompt
Use Onefilellm for this task. Review https://www.openagentskill.com/api/skills/jimmc414-onefilellm/install, then install with: npx skills add jimmc414/onefilellmRegistry 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/jimmc414-onefilellm
LLM text
/api/registry/manifest/jimmc414-onefilellm?format=text
Install alias
/api/registry/install/jimmc414-onefilellm
Recommend
/api/registry/recommend?task=Use%20Onefilellm%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Python, Research, 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
GitHub automation
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
PASS2.0K GitHub stars
Stars/forks activity
INFO2.0K stars, 176 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Stack fit
Ingest, retrieve, and cite
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
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.
Alternative shortlist
Similar skills in this category, ranked with the same readiness and quality signals.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.
Specify a github or local repo, github pull request, arXiv or Sci-Hub paper, Youtube transcript or documentation URL on the web and scrape into a text file and clipboard for easier LLM ingestion
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.
Frameworks & Tools
Decision snapshot
1,981 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 Onefilellm, ready for a manual X post.
A lot of agents don't need a bigger prompt. They need fresher context. Onefilellm feels like a recent-web radar for Codex, Claude Code, Cursor, and research agents. 2.0K stars https://www.openagentskill.com/skills/jimmc414-onefilellm?ref=x #AIAgents
Listing + install path for Onefilellm: https://www.openagentskill.com/skills/jimmc414-onefilellm?ref=x Install: npx skills add jimmc414/onefilellm
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 jimmc414 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/jimmc414-onefilellm)
[](https://www.openagentskill.com/skills/jimmc414-onefilellm)
[](https://www.openagentskill.com/skills/jimmc414-onefilellm/audit)
[](https://www.openagentskill.com/skills/jimmc414-onefilellm)jimmc414✓
@jimmc414
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
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Academic Research Skills for Claude Code: research → write → review → revise → finalize
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Run autonomous deep research over web and local sources
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An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.
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