Skip to review snapshot
Skill profile Review candidate Next best action: Check evidence, trust, and trial before install
~/agentstaffer / skills / npm-ardf-sdk
A

ardf-sdk

Official TypeScript SDK for the ARDF (AI Resource Discovery Framework) platform

npmskillCoding & DevelopmentHTTPCLISDKOpenAI Codex CLI

Fit & Capabilities

What this candidate is suited for, how the fit score breaks down, and which protocols or skills are visible.

66 / 100 fit
Fit score66 / 100Capability fit: 100/100
Best for1 usesEngineering teams testing coding agents or skill packs
Protocols3 visibleHTTP / CLI
Capabilities3 listedRAG / Coding assistance
Fit detailOpen the full fit breakdown.
Capability fit100 / 100

Coding & Development

Trust58 / 100

Needs review

Integration readiness75 / 100

CLI ready

Maintenance signal0 / 100

Source review needed

Community proof50 / 100

58 / 100 external reputation

Trial readiness77 / 100

Run a small code review trial

Best for1 uses
  • Engineering teams testing coding agents or skill packs
Protocols3
HTTPCLISDK
Capabilities3
RAGCoding assistanceReusable skill package

Evidence

Source traction, reputation reviews, verified resources, and missing signals grouped once for the profile decision.

3 quality signals
Source tractionSource review neededLast activity
Reputation & reviews2 external0 community / 0 trials
Verified resources2 / 3 presentMCP config not inferred
Evidence gaps4 openOpen evidence detail before promotion
Evidence detailOpen the full evidence ledger.

Source traction

Last activity
2025-11-23

Reputation & reviews

External reputation
2 signals attached
External score
58 / 100
Community reviews
0
Trial runs
0

Verified resources

Source URL
Present
Install manifest
Present
MCP config
Not inferred

Evidence gaps

Sandbox trial
Not recorded
License
Unknown
Community review
Not recorded
Permissions
Review required

Risk & Safety

Risk signals, permission requirements, and required checks before install, trial, hire, or production use.

Blocked
Risk signals
Mixed third-party reputationhigh

Third-party reputation score is 58/100.

No community evaluationmedium

AgentStaffer users have not submitted a review yet.

Permission-sensitive workflowmedium

The listing may touch accounts, browsers, payment, credentials, or other sensitive surfaces.

Unknown licensemedium

License metadata is missing, so commercial or redistribution rights need manual review.

Marketplace review notereview

matches:agent,agents,skill,skills,rag,langchain

Safety requirements
Sandbox workspacerequired

Run the first trial in a throwaway directory or isolated environment.

Node.js and npmrequired

Required to run ardf-sdk.

Temporary credentialsconditional

Use throwaway API keys or scoped test credentials. Do not start with production secrets.

License reviewreview

License metadata is missing from the current public profile.

Quality evidence
Protocol metadatapositive

HTTP, CLI, SDK support detected.

Ready install pathpositive

AgentStaffer can infer ardf-sdk.

Third-party reputationpositive

2 third-party signals with score 58/100.

Required checks
Confirm licensereview

License metadata is missing from the imported profile.

Review permissionsrequired

Use minimum viable access and temporary credentials for the first run.

Collect user evaluationreview

No AgentStaffer community review is attached yet.

Run sandbox trialrequired

Create a narrow, observable trial before install, hire, or promotion.

Security verdict

Blocking risk is visible. Do not install or grant credentials until reviewed.

Open trust review

Safe action rule

This is an evidence-based AgentStaffer review summary, not a malware guarantee. Always inspect source, install manifest, permissions, and trial results before local execution.

Installation

One install command/config, with client-specific notes kept short.

CLI ready
Command
npx -y ardf-sdk
Setup guide

Client notes
Claude Desktop

Download the install file and open the source documentation.

Cursor / VS Code

Open the source documentation and find the editor integration steps.

Dify / n8n / Langflow

Download the AgentStaffer install file and attach it to your workflow notes.

Local / Terminal

npx -y ardf-sdk

Safety
  • Run in a sandbox or throwaway workspace.
  • Use non-production data and temporary credentials.
  • Capture output, logs, install friction, and any permission requests.

Trial Plan

Status: Not started. Record trial evidence before production promotion.

not started
Run a small code review trial

Give the agent one low-risk issue or one small pull request and ask for defects, tests, and a patch plan.

Expected output

A concise review with reproducible findings, changed-file scope, and test suggestions.

Success criteria
  • Finds concrete issues
  • Avoids broad rewrites
  • Explains tradeoffs
  • Can be evaluated without secrets
Required review
  • Sandbox workspace: Run the first trial in a throwaway directory or isolated environment.
  • Node.js and npm: Required to run ardf-sdk.
  • Temporary credentials: Use throwaway API keys or scoped test credentials. Do not start with production secrets.
  • License review: License metadata is missing from the current public profile.
Promotion rule

Blocked until trial evidence exists

Lifecycle & Alternatives

Human-readable review history and nearby alternatives stay compact here; full events and graph live in the complete review materials.

0 records
Reviews & HistoryReview history
Indexed for hiring review

Candidate entered AgentStaffer as a public marketplace listing.

2026-07-14
Current lifecycle stage

Run Trial: Start with a sandbox trial before shortlisting or hiring.

2026-07-14
Latest sandbox trial

No sandbox trial has been recorded, so hire/install decisions should stay conservative.

Pending
Latest community review

No community review has been attached yet.

Pending
Similar CandidatesAlternatives
iflow-mcp-sixhq-overture

MCP Server for Claude Code, Cursor, Cline, Copilot, Github Copilot, Windsurf - Visual AI Agent Plan Execution, Approval Workflow, Plan Visualization, Agent Orchestration. See what your AI is thinking before it writes code. Works with Claude, GPT, Gemini,

66/100 fit
overture-mcp

MCP Server for Claude Code, Cursor, Cline, Copilot, Github Copilot, Windsurf - Visual AI Agent Plan Execution, Approval Workflow, Plan Visualization, Agent Orchestration. See what your AI is thinking before it writes code. Works with Claude, GPT, Gemini,

66/100 fit
IvanMurzak/Unity-MCP

AI Skills, MCP Tools, and CLI for Unity Engine. Full AI develop and test loop. Use cli for quick setup. Efficient token usage, advanced tools. Any C# method may be turned into a tool by a single line. Works with Claude Code, Gemini, Copilot, Cursor and any other absolutely for free.

77/100 fit
workflow

Vercel Workflow DevKit (WDK) expert guidance. Use when building durable workflows, long-running tasks, API routes or agents that need pause/resume, retries,…

77/100 fit
DemonDamon/AgenticX

AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical memory, avatar & group chat, skill ecosystem, safety sandbox, and IM gateway (Feishu/WeChat).

73/100 fit
setup skill by assistant-ui/skills

Setup and configure assistant-ui in a project. Use when installing packages, configuring runtimes, or troubleshooting setup issues.

70/100 fit
Decision files

Review materials

Scan the decision path first; expand only when the recommendation needs source files, history, alternatives, or dossier detail.

Open profile JSON
Decision path
Profile JSONStartEvidence JSONSignalsTrust JSONRiskMaterialsAll files
01Decision basis

Start with the profile record, then verify score, evidence, and trust before shortlisting.

Profile, score, evidence, trust
02Trial readiness

Use the sandbox plan and setup guide before copying commands or approving local setup.

Trial plan and setup
03Governance trail

Check lifecycle history, alternatives, and the dossier before hire, promotion, or credentials.

History, alternatives, dossier
Full file listOpen ordered resources when the decision needs more evidence.

9 required records stay in review order; companion links are grouped for context.

Review order
  1. 01Decision recordIdentity, summary, and required review materials
  2. 02Score detailFit, recommendation, and decision scoring
  3. 03Evidence ledgerSource, reputation, and review gaps
  4. 04Full file listEvidence, setup, trust, trial, and history files

Use the compact page for quick review; open the full file list before recommending hire, install, promotion, or credential access.

Vendor path

Claim, verify, report, then feature

Vendor ownership and paid visibility options stay below the review package; evidence scores stay independent.

Start claim
Next stepClaim owner path

Submit public maintainer proof so corrections and paid visibility can be reviewed.

GuardrailExposure only

Paid placement can influence eligible exposure surfaces only after verification; trust, fit, safety, trial, and promotion scores remain evidence based.

done Indexed

The profile is discoverable with public profile, score, evidence, trust, install, and trial resources.

Open profile
current Claim owner path

Submit public maintainer proof so corrections and paid visibility can be reviewed.

Start claim
locked Verify evidence

Ownership, install metadata, safety posture, trial evidence, and public proof are checked independently.

Open visibility report
current Read visibility report

Use the report to see crawlable surfaces, comparison presence, evidence gaps, and the next fix.

View report
locked Apply for featured visibility

Featured exposure is available only after claim or verification readiness, and never changes scores.

Complete claim first
Commercial products and availabilityOpen claim, verification, report, and featured visibility options.
Claim profilefree

available · Start claim

Start claim
Verification reviewoptional paid

locked · Claim first

Claim first
Visibility reportoptional paid

available · Open report

Open report
Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.