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AgentForge

NPM · AGENTFORGE-MCP · SCANNED AUG 3

Turn rough requests into rigorously structured prompts, for any coding agent.

Available components

+22 this week 65 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security87
  • No malware found by supply-chain analysis.Pass
  • Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.Partial
  • No install/post-install scripts declared.Pass
  • Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability57
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 408 tokens (~408/item across 1 items; 1 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management23
  • Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

npm · agentforge-mcp

# add to Claude Code
claude mcp add org-sciscale-agentforge-mcp -- npx -y agentforge-mcp
# add to Codex CLI
codex mcp add org-sciscale-agentforge-mcp -- npx -y agentforge-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "org-sciscale-agentforge-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "agentforge-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add org-sciscale-agentforge-mcp --command npx --arg -y --arg agentforge-mcp
# ~/.hermes/config.yaml
mcp_servers:
  org-sciscale-agentforge-mcp:
    command: "npx"
    args: ["-y", "agentforge-mcp"]
// mcp.json
{
  "mcpServers": {
    "org-sciscale-agentforge-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "agentforge-mcp"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 3 Aug 26 +3
    • Stability: unverified → 0.23 functional
  • 2 Aug 26 +44
    • Provenance: unverified → fail security
    • Install scripts: unverified → pass security
    • Known CVEs: unverified → partial security
    • Malware scan: unverified → pass security
    • Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
    • Security disclosure: fail → unverified functional
    • Tool coverage: 100 → unverified functional
    • License: unverified → pass functional
    • Dependency health: unverified → partial functional
    • Maintenance: unverified → pass functional
    • MCP protocol: unverified → pass functional
    • Schema quality: unverified → good functional
    • First check of Schema quality: unverified functional
    • Licence: MIT functional
  • 31 Jul 26 −25
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 27 Jul 26 43

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Analysed npm/[email protected]

Provenance none

Ecosystem: npm · Outcome: none

Dependencies 95 packages

95 packages in the resolved dependency tree · 95 deprecated · 29 stale.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 1 exposed · ~408 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
agentforge_refine_prompt ~408

Turn a rough, plain-language coding request into a structured, tool-tuned prompt for an AI coding agent. AgentForge extracts the real requirements, fills in missing edge cases, formats the prompt for the target agent's conventions, and runs it through a Quality Engine before returning it. Reach for this when a request is vague or under-specified and you want a sharper prompt before handing it to a coding agent. Args: - request (string, required): the coding task in plain language, 1-4000 chars. - target_tool (string): one of claude-code, codex, cursor, aider, continue, windsurf, kimi, generic. Default: claude-code. - style (string): plan-first, direct-edit, or explore-first. Default: plan-first. Returns the refined prompt as text. structuredContent additionally carries: { "prompt": string, "tier": "free" | "pro", "quality": { "score": number, "max_score": number, "passed": boolean } | null, "usage": { "used_today": number, "limit": number | null } } Errors are returned as text, e.g.: - "API key not configured" — set AGENTFORGE_API_KEY. - "invalid or revoked API key" (401) — check the key at agentforge.sciscale.org. - "daily free limit reached" (429) — upgrade to Pro for unlimited calls.

NameTypeReqDescription
requeststringyesThe coding task or feature request, in plain language. Rough and under-specified is fine — that is exactly what gets refined.
stylestringExecution style baked into the prompt: 'plan-first' plans before coding, 'direct-edit' makes the smallest change, 'explore-first' maps the codebase first.
target_toolstringThe AI coding agent the prompt is formatted for.
NameTypeReqDescription
promptstringyesThe refined, tool-tuned prompt — hand this to your coding agent.
qualityyesQuality Engine score, or null if scoring was unavailable.
tierstringyesAccount tier that produced it: 'free' or 'pro'.
usageobjectyesToday's usage for this account; 'limit' is null for unlimited Pro.

No examples provided.