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evaluate-agent-framework

pjt222
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Esta habilidad evalúa marcos de trabajo de agentes de IA de código abierto para determinar su preparación para inversión, analizando la salud de la comunidad, el riesgo de obsolescencia, la arquitectura y la gobernanza. Genera una clasificación de cuatro niveles (INVERTIR, EVALUAR-MÁS, CONTRIBUIR-CAUTELOSAMENTE, EVITAR) para orientar la asignación de recursos de ingeniería. Úsela para evaluar la viabilidad a largo plazo de un marco de trabajo antes de comprometer un esfuerzo de desarrollo significativo.

Instalación rápida

Claude Code

Recomendado
Principal
npx skills add pjt222/agent-almanac -a claude-code
Comando PluginAlternativo
/plugin add https://github.com/pjt222/agent-almanac
Git CloneAlternativo
git clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/evaluate-agent-framework

Copia y pega este comando en Claude Code para instalar esta habilidad

Documentación

Evaluate Agent Framework

Score OSS agent framework → invest? Steps 2-3 novel: survival rate + supersession. Tier → INVEST / EVALUATE-FURTHER / CONTRIBUTE-CAUTIOUSLY / AVOID. Calibrate effort pre-commit.

Use When

  • Adopt framework prod? → check
  • Dep risk on framework → assess
  • Send eng effort to ext proj? → decide
  • Build-vs-adopt cmp → rank
  • Post-release / post-gov-change / post-acq re-eval

In

  • Req: framework_url — GitHub repo URL
  • Opt:
    • comparison_frameworks — alt framework URLs, bench
    • use_case — intended use (e.g., "multi-agent orchestration", "tool-use pipelines") → arch fit
    • contribution_budget — planned eng hrs → tier calib

Do

Step 1: Census

Size, activity, landscape → before deeper probe.

  1. Read README.md, CONTRIBUTING.md, LICENSE, arch docs (docs/, ARCHITECTURE.md)
  2. Quant metrics:
    • Stars/forks/issues/PRs → gh repo view <repo> --json stargazerCount,forkCount,issues,pullRequests
    • Dependents → GitHub "Used by" or gh api repos/<owner>/<repo>/dependents
    • Release cadence → gh release list --limit 10 — freq + semver?
  3. Bus factor → top 5 contribs last 12mo by commit. Top >60% → crit low
  4. Landscape:
    • Pioneer: first mover → defines cat (high infl, high supersession risk to followers)
    • Fast-follower: <6mo post-pioneer → iterate
    • Late entrant: post-stabilization → cmp on feat/gov
  5. comparison_frameworks given → same metrics each alt

→ Census tbl: stars, forks, deps, cadence, bus factor, landscape (+cmps).

If err: private/rate-limited → manual README. No metrics (self-hosted GitLab) → note gap, qual only.

Step 2: Community Health

Welcome/support/retain externals?

  1. External survival rate:
    • Last 50 closed PRs → gh pr list --state closed --limit 50 --json author,mergedAt,closedAt,labels
    • Author internal (org) vs external
    • survival_rate = merged_external_PRs / total_external_PRs
    • Healthy >50%; concern <30%
  2. Responsiveness:
    • Issue first-response: median issue-open → first maintainer comment
    • PR merge latency: median ext PR open → merge
    • Healthy <7d resp, <30d merge; concern >30d resp
  3. Contributor diversity:
    • Ext/int ratio last 6mo
    • Unique externals w/ >=2 merged PRs (repeat → healthy eco)
  4. Gov artifacts:
    • CONTRIBUTING.md exists + actionable (not just "submit a PR")
    • CODE_OF_CONDUCT.md exists
    • Gov docs → decision process
    • Issue/PR templates guide contribs

→ Scorecard: survival, resp times, diversity, gov checklist.

If err: PR data thin (<20 closed) → note sample, weight others. Non-GitHub → adapt queries to platform API.

Step 3: Supersession Risk

Ext contribs → obsoleted by internal dev? Biggest risk.

  1. Sample last 50-100 merged ext PRs (or all if fewer)
  2. Each merged ext PR, later:
    • Reverted: explicit revert ref PR
    • Rewritten: same file/module changed <90d by internal
    • Obsoleted: feat removed/replaced next release
  3. supersession_rate = (reverted + rewritten + obsoleted) / total_merged_external
  4. Roadmap vs ext-active areas:
    • High overlap → high supersession (int builds over ext)
    • Low overlap → lower risk (ext fill gaps int won't)
  5. "Contrib traps": look friendly, scheduled for int rewrite
  6. Bench: NemoClaw → 71% ext PRs superseded <6mo. Calib pt.

→ Supersession % + breakdown (reverted/rewritten/obsoleted). Roadmap overlap.

If err: shallow/squash-merged (attrib lost) → est by ext PR paths vs files changed next releases. Lower confidence.

Step 4: Architecture Alignment

Arch supports use case w/o lock-in?

  1. Extension pts:
    • Plugin API → documented?
    • Config surface → customize no-fork?
    • Hook/callback → intercept behavior?
  2. Lock-in:
    • Rewrite cost: migrate-away est (d/wk/mo)
    • Data portability: export std fmt?
    • Std compliance: agentskills.io, MCP, A2A vs proprietary?
  3. API stability:
    • Breaking changes/major (CHANGELOG, migration guides)
    • Deprecation policy (advance warn)
    • Semver compliance (breaking → major only)
  4. Use case fit:
    • use_case given → arch natural fit?
    • Arch mismatches → workarounds req?
  5. Interop:
    • agentskills.io compat (skill model)
    • MCP (tool integration)
    • A2A (agent-to-agent)

→ Arch report: ext pts, lock-in (low/med/high), API stability, use-case fit.

If err: sparse docs → derive from code + public API. Too young for stability hist → note, weight gov more.

Step 5: Governance + Sustainability

Gov model → long-term viable? Fair to externals?

  1. Gov model:
    • BDFL: single decider → fast, bus factor risk
    • Committee/Core team: distributed → slower, resilient
    • Foundation-backed: Apache, Linux Foundation, CNCF → most sustainable
    • Corporate-controlled: one co → rug-pull risk
  2. Funding:
    • VC, corp, grants, community, unfunded
    • Full-time maintainers >=2 healthy; 0 red flag
    • Revenue → how sustain?
  3. Contributor protections:
    • License: permissive (MIT, Apache-2.0) vs copyleft (GPL) vs custom
    • CLA → rights transfer that disadvantage?
    • Recog → credited in releases/changelogs/docs?
  4. Security:
    • SECURITY.md or equiv
    • Median CVE → patch time
    • Dep update (Dependabot, Renovate, manual)
  5. Trajectory:
    • Gov evolving (→ foundation)?
    • Recent leadership/acq/relicense?
    • Public maintainer-contributor conflicts?

→ Gov assess: model, sustainability (sustainable/at-risk/critical), protections, security.

If err: gov undocumented → absence = yellow flag. Check implicit: who merges, who closes, who releases.

Step 6: Classify

Synth → 4-tier + justifications + recs.

  1. Score each (1-5):
    • Community health: survival, resp, diversity
    • Supersession risk: rate, roadmap, traps (invert: low better)
    • Arch alignment: ext pts, lock-in, stability, fit
    • Gov sustainability: model, funding, protections, sec
  2. Thresholds:
    • INVEST (all >=4): healthy, low supersession (<20%), aligned, sustainable gov → safe adopt + contrib
    • EVALUATE-FURTHER (mixed, none <2): mixed signals → specific follow-ups, re-eval date
    • CONTRIBUTE-CAUTIOUSLY (any 2, none <2): high supersession (>40%) or gov concerns → limit to requested work, maintainer-approved scope, plugin/ext decoupled from core
    • AVOID (any 1): crit red flags — abandoned, hostile (<15% survival), bad license, rug-pull → no eng effort
  3. Write report:
    • Tier + 1-sentence rationale up front
    • Each dim score + evidence
    • contribution_budget given → how alloc hrs per tier
    • EVALUATE-FURTHER → specific Qs + timeline
    • CONTRIBUTE-CAUTIOUSLY → safe (plugins, docs, tests) vs risky (core)
  4. comparison_frameworks evaluated → cmp matrix, rank all

→ Classification report: tier, scores, evidence, actionable recs.

If err: data gaps block confident call → default EVALUATE-FURTHER, doc missing data + how to get. Never default INVEST when unsure.

Chk

  • Census: stars, forks, deps, cadence, bus factor, landscape
  • Community: survival, resp times, diversity, gov artifacts
  • Supersession: rate + breakdown (reverted/rewritten/obsoleted)
  • Arch: ext pts, lock-in, API stability, fit
  • Gov: model, funding, protections, security
  • Tier: INVEST / EVALUATE-FURTHER / CONTRIBUTE-CAUTIOUSLY / AVOID
  • Each score → specific evidence
  • Recs actionable + calib to budget (if given)
  • Data gaps + confidence limits doc'd

Traps

  • Popularity ≠ health: 50k stars + 1 maintainer < 2k stars + 15 active contribs. SPoF.
  • Skip supersession: most common ext-contrib failure. Welcoming community worthless if int overwrites ext.
  • Arch-only, ignore gov: pretty design fails w/ unsustainable or hostile gov.
  • EVALUATE-FURTHER ≠ AVOID: mixed = investigate, not reject. Set re-eval date + specific Qs.
  • Snapshot bias: metrics point-in-time. Declining proj w/ great current > improving proj w/ mediocre. Check 6-12mo trend.
  • CLA complacency: some CLAs transfer copyright → your work = their asset. Read text, not checkbox.
  • Single-framework anchor: no cmp → anything looks great/terrible. Bench at least 1 alt, even informal.

See

Repositorio GitHub

pjt222/agent-almanac
Ruta: i18n/caveman-ultra/skills/evaluate-agent-framework
0
agentsagentskillsai-assisted-developmentclaude-codeskillsteams

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