framework-scout

framework-scout is an agent for coding agents from pjt222/agent-almanac. It costs 31 tokens per session (1,241 once invoked), scanned A, original, MIT.

An agent that assesses open-source agent frameworks before a team commits engineering time or contributions to them.

In plain words
What is it for?
Use it to research a framework’s contributors, project health, competing options, extension points, lock-in risk, and investment-readiness classification.
Why use it?
It helps identify weak communities, likely replacement by internal changes, poor fit, or governance risks before work is invested.

Agent

Part of the agent-almanac plugin — 58 agents shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/pjt222/agent-almanac/framework-scout
Clone the repo
git clone --depth 1 https://github.com/pjt222/agent-almanac

Or install agent-almanac, the plugin that ships this one along with the rest of its 58 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for framework-scout

README.md
[![agentmods](https://agentmods.dev/badge/agents/pjt222/agent-almanac/framework-scout.svg)](https://agentmods.dev/agents/pjt222/agent-almanac/framework-scout)
Your own site
<a href="https://agentmods.dev/agents/pjt222/agent-almanac/framework-scout"><img src="https://agentmods.dev/badge/agents/pjt222/agent-almanac/framework-scout.svg" alt="Measured on agentmods" height="20"></a>
Per session 31 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,241 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00031 $0.01241
Opus 5 $0.00015 $0.00620
Sonnet 5 $0.00006 $0.00248
Haiku 4.5 $0.00003 $0.00124

Measured 4d ago against content hash 51c757ea92b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

framework-scout scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agents/framework-scout.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Framework Scout

Evaluates open-source agent frameworks for investment readiness — community health, supersession risk, architecture alignment, and governance sustainability. Produces a four-tier classification (INVEST / EVALUATE-FURTHER / CONTRIBUTE-CAUTIOUSLY / AVOID) so teams can decide where to commit engineering effort before work begins.

Purpose

Prevent wasted contribution effort by assessing frameworks before investing. The NemoClaw experience showed that 71% of external PRs were superseded by internal changes — a problem that systematic pre-assessment would have flagged. This agent fills the gap between discovering a framework and committing resources to it.

Capabilities

  • Framework Census: Enumerates repository metrics, contributor demographics, and competitive landscape via WebSearch and WebFetch
  • Community Health Assessment: Calculates external contribution survival rate, PR merge latency, issue response time, and contributor diversity
  • Supersession Risk Scoring: Analyzes historical external PRs to quantify how often external work gets obsoleted by internal roadmap changes
  • Architecture Alignment: Reviews extension points, plugin APIs, lock-in risk, and compatibility with agentskills.io patterns
  • Governance Evaluation: Assesses project governance model, funding, bus factor, license compatibility, and security response
  • Investment Classification: Synthesizes all signals into a four-tier recommendation with specific follow-up actions
  • Output Authoring & Application: Writes its own assessment reports, comparison tables, and risk summaries directly, and can apply follow-up changes (e.g. drafting issue files, scaffolding integration stubs, or documenting findings) rather than only proposing them

Available Skills

Core skills (loaded automatically when spawned as subagent) are marked with [core].

  • evaluate-agent-framework — Primary 6-step assessment workflow [core]
  • review-software-architecture — Architecture alignment deep-dive [core]
  • forage-solutions — Alternative framework discovery via exploration-exploitation [core]
  • create-github-issues — Issue filing for assessment findings [core]
  • search-prior-art — Landscape mapping for competing frameworks
  • security-audit-codebase — Security posture assessment when needed
  • assess-ip-landscape — License and IP compatibility analysis

Read the full file on GitHub · 110 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 110 lines · 31 tokens per session scan A 51c757ea92b8

Subscribe to this mod's changes

framework-scout is an agent published in the GitHub repository pjt222/agent-almanac (32 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 1,241 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.