Star0

Agent FLAN

REVIEW · 64
Community indexed

[ACL2024 Findings] Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models

Downloads0
Stars361
Version1.0.0
Quality52/100 · Needs review
Trust64/100 · Sandbox only
Audit64/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Agent fit

Claude Code + OpenAI Agents + CLI

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add InternLM/Agent-FLAN

Maintenance

stale

2y since push

Risk

Needs review

Repository appears stale

GitHub quality

361

52/100 quality · 72/100 trust

Coverage tags

CodingCoding agentssupport-automationchatbotsupport

Review notes

Repository appears stale · Repository looks stale

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

Needs review
52

Inspect the repository carefully before adding it to an agent workflow.

Trust

Sandbox only
64

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
64

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

ChatbotCodexClaude CodeCursorOpenAgentSkill CLI

Stars

361 GitHub stars

Repo activity

361 stars, 10 forks

Maintenance

2y since push

License

Apache-2.0

Install

npx skills add InternLM/Agent-FLAN

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Repository looks stale
  • Quality score needs review
  • Stars/forks activity: 361 stars, 10 forks; issue activity unavailable in current metadata
  • Recent maintenance: 2y since push

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

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.

Open JSON

Suited tasks

  • Coding agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect source files

Suited agents

ChatbotCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add InternLM/Agent-FLAN
Policy
review
Human review
yes

Trust and risk

Trust
64/100
Audit
64/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add InternLM/Agent-FLAN
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that require actively maintained dependencies
  • production agents without a repository review
  • Repository looks stale
  • Repository appears stale
  • Quality score needs review

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Agent safety v2

48/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

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.

  • Repository appears stale

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.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add InternLM/Agent-FLAN

Agent resolve plan

Let an agent verify fit before installing.

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.

Open text plan

Resolve JSON

/api/agent/resolve?task=Use%20Agent%20FLAN%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Agent%20FLAN%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/internlm-agent-flan/install

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Agent FLAN in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Agent%20FLAN%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/internlm-agent-flan/install
Install command: npx skills add InternLM/Agent-FLAN
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent 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.

Open install API

Install handoff

/api/skills/internlm-agent-flan/install

LLM text format

/api/skills/internlm-agent-flan/install?format=text

Find alternatives

/api/skills/search?q=Agent%20FLAN&limit=3

Agent prompt

Use Agent FLAN for this task. Review https://www.openagentskill.com/api/skills/internlm-agent-flan/install, then install with: npx skills add InternLM/Agent-FLAN

Registry 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.

Open manifest

Manifest

/api/registry/manifest/internlm-agent-flan

LLM text

/api/registry/manifest/internlm-agent-flan?format=text

Install alias

/api/registry/install/internlm-agent-flan

Recommend

/api/registry/recommend?task=Use%20Agent%20FLAN%20in%20an%20agent%20workflow&limit=3

Agent fit

42/100

Coding agents

Use-case tags

Coding agentsRAG and knowledgeWorkflow automation

Platforms

Chatbot, Claude Code, OpenAI Agents

Audit report

Needs review · 64/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit reportView eval report

Agent decision cockpit

Needs validation for Coding agents

Do a manual repository review before adding this to an agent workflow.

42
Readiness
Review
Stage

Role in stack

Needs validation

Primary fit

Coding agents

Trust label

Needs manual review

Install path

Command ready

Use when

  • Coding agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • install command or GitHub repo available
  • 52/100 quality profile
  • 1 OpenAgentSkill engagement events

Review first

  • Repository looks stale

Implementation path

  1. 1Install it in a sandbox agent and run one Coding agents task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

64
Trust score

GitHub adoption

INFO

361 GitHub stars

Stars/forks activity

CHECK

361 stars, 10 forks; issue activity unavailable in current metadata

Recent maintenance

FIX

2y since push

License clarity

PASS

Apache-2.0

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Repository looks stale
  • Quality score needs review
  • Stars/forks activity: 361 stars, 10 forks; issue activity unavailable in current metadata
  • Recent maintenance: 2y since push
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Needs review candidate for agent workflows

Inspect the repository carefully before adding it to an agent workflow.

52
GitHub stars
361
Freshness
2y ago
Install ready
Yes
License
Apache-2.0
Check before install: Repository looks stale

Workflow fit

Use this skill in these scenarios

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Search private knowledge

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Automate repeated work

Workflow automation

I need my agent to automate a repeated workflow across tools and files.

Stack fit

Add it to a complete workflow

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.

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.

Alternative shortlist

Compare before you install

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Overview

[ACL2024 Findings] Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models

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

chatbotFULL

Technical Details

Version
1.0.0
License
Apache-2.0
Last Updated
6/21/2026
Published
6/21/2026

Frameworks & Tools

Chatbot

Decision snapshot

Needs validation

42
Ready
Review
Stage

install command or GitHub repo available

Audit snapshot

Install review

Install and adoption review

64
Needs review
Security
88/100
Maintenance
20/100
Install
92/100
Open full auditOpen eval report

Agent-proven evidence

Agent Proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
—
Recent failure
—
Outcomes
0
Output quality
—
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

Free and open source. Review the audit before production use.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for Agent FLAN, ready for a manual X post.

Curator note
Most coding agents don't fail from lack of model power. They fail when repo context disappears.

Agent FLAN gives coding agents a repeatable way to plan, patch, review, or ship.

361 stars

https://www.openagentskill.com/skills/internlm-agent-flan?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for Agent FLAN:
https://www.openagentskill.com/skills/internlm-agent-flan?ref=x

Install: npx skills add InternLM/Agent-FLAN
Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
InternLM
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This community indexed listing is attributed to InternLM 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.

README badge

Add this badge to your GitHub README to show the listing, trust score, and install handoff.

[![OpenAgentSkill](https://www.openagentskill.com/api/badge/internlm-agent-flan)](https://www.openagentskill.com/skills/internlm-agent-flan)
Preview badgeAudit badge

Author

I

InternLM

@internlm

Tags

chatbotsupportautomationcustomer-supportagentfine-tuning-llmgptlarge-language-modelllmgithub

Platform Fit

Claude CodeOpenAI Agents

Health Signals

GitHub stars
361
Quality score
37/100
Last GitHub push
Mar 22, 2024
Framework hints
1
OpenAgentSkill views
1
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

Sandbox only

64
  • GitHub adoption361 GitHub starsINFO
  • Stars/forks activity361 stars, 10 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance2y since pushFIX
  • License clarityApache-2.0PASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS

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