---

name: evaluate-agent-framework locale: caveman-ultra source_locale: en source_commit: 82c77053 fence_basis_commit: 82c77053 translator: "Julius Brussee homage — caveman" translation_date: "2026-04-24" description: > Assess an open-source agent framework for investment readiness by evaluating community health, supersession risk, architecture alignment, and governance sustainability. Produces a four-tier classification (INVEST / EVALUATE-FURTHER / CONTRIBUTE-CAUTIOUSLY / AVOID) to guide resource allocation decisions before committing engineering effort. license: MIT allowed-tools: Read Grep Glob Bash WebFetch WebSearch metadata: author: Philipp Thoss version: "1.0" domain: open-source complexity: advanced language: multi tags: open-source, framework-evaluation, risk-assessment, community-health, supersession, investment

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

• polish-claw-project — contrib workflow this informs
• review-software-architecture — Step 4 arch eval
• forage-solutions — alt framework discovery for cmp
• search-prior-art — landscape + prior work
• security-audit-codebase — Step 5 sec posture
• assess-ip-landscape — license + IP risk