docs: surface v20.1.0 in README changelog and latest-release line (#53)

The structured CHANGELOG.md already had 20.1.0; this updates the README's
embedded 'What's New' changelog and the top 'Latest release' line to match.


Claude-Session: https://claude.ai/code/session_016JWn5jRD5tcEFKrubjQ6Px

Co-authored-by: Claude <noreply@anthropic.com>

.github/workflows/eval-leaderboard.yml

@@ -21,6 +21,7 @@ on:
 
 permissions:
   contents: write
+  pull-requests: write
 
 concurrency:
   group: eval-leaderboard
@@ -29,6 +30,7 @@ concurrency:
 jobs:
   evaluate:
     runs-on: ubuntu-latest
+    timeout-minutes: 20
     steps:
       - name: Checkout
         uses: actions/checkout@v4
@@ -53,15 +55,16 @@ jobs:
       - name: Build the leaderboard page (sanity check)
         run: node scripts/build-leaderboard.mjs
 
-      - name: Commit results
-        run: |
-          git config user.name "github-actions[bot]"
-          git config user.email "github-actions[bot]@users.noreply.github.com"
-          git add evals/results.json
-          if git diff --cached --quiet; then
-            echo "No change in results."
-          else
-            git commit -m "chore(evals): refresh leaderboard results"
-            git push
-            echo "Committed evals/results.json — the Pages deploy will render real numbers."
-          fi
+      - name: Open a PR with the refreshed results
+        uses: peter-evans/create-pull-request@v7
+        with:
+          add-paths: evals/results.json
+          branch: eval-results
+          delete-branch: true
+          commit-message: "chore(evals): refresh leaderboard results"
+          title: "chore(evals): refresh leaderboard results"
+          body: |
+            Auto-generated by the **Update Skill Leaderboard** workflow.
+
+            Merging this publishes the **real** numbers on the live leaderboard — the
+            Pages deploy is triggered by changes to `evals/results.json`.

CHANGELOG.md

@@ -9,13 +9,28 @@ each new wave of skills bumps the **major** version, extensions and fixes bump
 
 ## [Unreleased]
 
+## [20.1.0] — Star Nudges & Eval Hardening — 2026-06-18
+
 ### Added
+- **Star the repo, from anywhere you use it.** Tasteful, non-spammy calls-to-action that turn
+  npm/CLI users into stargazers — no `postinstall` hook: a prompt after a successful
+  `npx pm-claude-skills add`, in `--help`, in `list`, in the MCP server's startup banner, a
+  CTA below the README badges (npm renders it on the package page), and a `funding` field in
+  `package.json` so npm shows a Fund/Sponsor link.
 - **One-click leaderboard updates in CI** — `.github/workflows/eval-leaderboard.yml`
   ("Update Skill Leaderboard") runs the evals with the `ANTHROPIC_API_KEY` secret, commits
   `evals/results.json`, and the Pages deploy re-renders the public leaderboard with real
   numbers — no local key needed. The deploy workflow now also triggers on
   `evals/results.json`.
 
+### Changed
+- **Leaderboard workflow opens a PR** instead of pushing to `main` (which the branch
+  ruleset blocks). After it runs, merge the auto-created results PR to publish real numbers.
+- **Faster, hang-proof evals.** The Anthropic client now has a per-request timeout (120s)
+  and limited retries (429/5xx/timeout); the eval harness runs cases concurrently
+  (default 4). The leaderboard workflow has a 20-minute job timeout. A 24-call run that
+  was sequential now finishes in a few minutes and can't stall a job indefinitely.
+
 ## [20.0.0] — Agentic Tooling — 2026-06-18
 
 ### Added

README.md

@@ -12,17 +12,19 @@
 [![Platforms](https://img.shields.io/badge/works%20with-Claude%20%7C%20ChatGPT%20%7C%20Gemini%20%7C%20Cursor%20%7C%20Codex%20%7C%20Hermes-8A2BE2)](#-works-with--cross-tool-compatibility)
 [![SkillCheck](https://img.shields.io/github/actions/workflow/status/mohitagw15856/pm-claude-skills/skillcheck.yml?branch=main&label=SkillCheck)](.github/workflows/skillcheck.yml)
 [![Security Audit](https://img.shields.io/github/actions/workflow/status/mohitagw15856/pm-claude-skills/skill-audit.yml?branch=main&label=security%20audit)](.github/workflows/skill-audit.yml)
-[![Version](https://img.shields.io/badge/version-20.0.0-brightgreen)](https://github.com/mohitagw15856/pm-claude-skills/releases)
+[![Version](https://img.shields.io/badge/version-20.1.0-brightgreen)](https://github.com/mohitagw15856/pm-claude-skills/releases)
 [![Install](https://img.shields.io/badge/Install%20in%20Claude%20Code-2%20minutes-orange)](https://github.com/mohitagw15856/pm-claude-skills#-quick-install-2-minutes)
 [![License](https://img.shields.io/badge/license-MIT-lightgrey)](LICENSE)
 [![Sponsor](https://img.shields.io/badge/sponsor-❤️-ff69b4)](https://github.com/sponsors/mohitagw15856)
 
+### ⭐ If this saves you time, [star the repo](https://github.com/mohitagw15856/pm-claude-skills) — it's the #1 way to help others find it.
+
 > **PM stands for Professional, not just Product Management.**
 > 167 professional skills + 4 agent templates across 26 bundles covering 18 professions. Built for Claude Code — and now portable to ChatGPT, Gemini, and Hermes Agent. Built by a PM, used by everyone.
 
 A community-built library of professional skills for every field — product management, engineering, customer success, marketing, social media, writers, design, legal, finance, HR, sales, operations, research, and more. Each skill is a structured `SKILL.md` file that teaches an AI assistant how to produce professional-grade outputs for your workflows. Skills run natively in **Claude Code** and **Hermes Agent** (same open `SKILL.md` standard), and ship as ready-to-paste exports for **ChatGPT** and **Gemini** — see [Works With](#-works-with--cross-tool-compatibility).
 
-**🆕 Latest release (v20.0.0 — Agentic Tooling):** run any skill in CI with the new **[GitHub Action](action/)**, turn your docs into a skill with **`npx pm-claude-skills generate`**, and compare skills across models on the **[Skill Leaderboard](https://mohitagw15856.github.io/pm-claude-skills/leaderboard.html)** (LLM-judge evals). See the [changelog](#-changelog).
+**🆕 Latest release (v20.1.0 — Star Nudges & Eval Hardening):** run any skill in CI with the **[GitHub Action](action/)**, turn your docs into a skill with **`npx pm-claude-skills generate`**, compare skills across models on the **[Skill Leaderboard](https://mohitagw15856.github.io/pm-claude-skills/leaderboard.html)** (now one-click in CI), and — if it saves you time — ⭐ the repo. See the [changelog](#-changelog).
 
 <!-- DEMO: replace web/docs-assets/playground.png below with web/docs-assets/playground-demo.gif
      once recorded (see web/docs-assets/README.md for how). The link goes to the live app. -->
@@ -403,7 +405,14 @@ More templates will follow. If you want to contribute one, see the [template con
 
 The highlights are below. For the structured, [Keep a Changelog](https://keepachangelog.com/)-format history, see **[CHANGELOG.md](CHANGELOG.md)**.
 
-### 🆕 What's New in v20.0.0 — Agentic Tooling
+### 🆕 What's New in v20.1.0 — Star Nudges & Eval Hardening
+
+- **Star the repo, from anywhere you use it** — tasteful, non-spammy CTAs (no `postinstall`): after a successful `npx pm-claude-skills add`, in `--help`, in `list`, in the MCP server banner, below the README badges, and a `funding` link on npm.
+- **One-click leaderboard in CI** — the "Update Skill Leaderboard" workflow runs the evals with your `ANTHROPIC_API_KEY` secret and opens a results PR; merge it to publish real numbers.
+- **Faster, hang-proof evals** — per-request timeout + retries in the API client and concurrent eval runs, so a CI run finishes in minutes and can't stall.
+
+<details>
+<summary><strong>v20.0.0 — Agentic Tooling</strong> (click to expand)</summary>
 
 The library starts *doing* the work, not just describing it:
 
@@ -411,6 +420,8 @@ The library starts *doing* the work, not just describing it:
 - **`generate` command** — `npx pm-claude-skills generate --from <url|file>` turns your docs into a standard-compliant `SKILL.md`.
 - **Skill evals + Leaderboard** — LLM-as-judge scoring of skills across models, rendered as a public [leaderboard](https://mohitagw15856.github.io/pm-claude-skills/leaderboard.html).
 
+</details>
+
 <details>
 <summary><strong>v19.0.0 — Security Auditor, Personas & Catalog</strong> (click to expand)</summary>
 

bin/cli.mjs

@@ -19,6 +19,7 @@ import { homedir } from 'node:os';
 import { createRequire } from 'node:module';
 
 const PKG_ROOT = dirname(dirname(fileURLToPath(import.meta.url)));
+const STAR = '⭐ Find this useful? Star the repo: https://github.com/mohitagw15856/pm-claude-skills';
 const VERSION = (() => {
   try { return createRequire(import.meta.url)('../package.json').version; } catch { return '0.0.0'; }
 })();
@@ -128,6 +129,7 @@ function add(opts) {
       aider: `Load any of them with:  aider --read ${join(target, '<skill>.md')}`,
     }[agent] || `Restart ${agent} — it auto-discovers SKILL.md skills in ${target} by their description.`;
     console.log(note);
+    console.log(`\n${STAR}`);
   }
 }
 
@@ -139,6 +141,7 @@ function list() {
   console.log('\nNative SKILL.md agents: claude, hermes, codex, openclaw (install skill folders).');
   console.log('Claude also gets subagents + slash commands. Cursor/Windsurf install rule files;');
   console.log('Aider installs conventions you load with "aider --read".');
+  console.log(`\n${STAR}`);
 }
 
 const HELP = `pm-claude-skills — install professional Agent Skills into any AI coding tool.
@@ -155,6 +158,8 @@ Examples:
   npx pm-claude-skills add --agent codex --link
 
   npx pm-claude-skills generate --from <url|file>   # turn your docs into a SKILL.md (needs ANTHROPIC_API_KEY)
+
+${STAR}
 `;
 
 const opts = parse(process.argv.slice(2));

bin/lib/anthropic.mjs

@@ -6,31 +6,57 @@ const API_URL = 'https://api.anthropic.com/v1/messages';
 
 /**
  * Call the Anthropic Messages API and return the concatenated text output.
+ * Adds a per-request timeout and limited retries so a slow/transient failure
+ * can't hang a CI job forever.
  * @param {object} o
  * @param {string} o.apiKey  - Anthropic API key.
  * @param {string} [o.model] - Model id (default claude-sonnet-4-6).
  * @param {string} [o.system]- System prompt.
  * @param {Array}  o.messages- [{role, content}] messages.
  * @param {number} [o.maxTokens]
+ * @param {number} [o.timeoutMs] - Per-request timeout (default 120s).
+ * @param {number} [o.retries]   - Retries on timeout / 429 / 5xx (default 2).
  * @returns {Promise<string>}
  */
-export async function complete({ apiKey, model = 'claude-sonnet-4-6', system, messages, maxTokens = 4096 }) {
+export async function complete({ apiKey, model = 'claude-sonnet-4-6', system, messages, maxTokens = 4096, timeoutMs = 120000, retries = 2 }) {
   if (!apiKey) throw new Error('Missing Anthropic API key (set ANTHROPIC_API_KEY).');
-  const res = await fetch(API_URL, {
-    method: 'POST',
-    headers: {
-      'content-type': 'application/json',
-      'x-api-key': apiKey,
-      'anthropic-version': '2023-06-01',
-    },
-    body: JSON.stringify({ model, max_tokens: maxTokens, ...(system ? { system } : {}), messages }),
-  });
-  if (!res.ok) {
-    const body = await res.text().catch(() => '');
-    throw new Error(`Anthropic API ${res.status}: ${body.slice(0, 500)}`);
+  let lastErr;
+  for (let attempt = 0; attempt <= retries; attempt++) {
+    const ctrl = new AbortController();
+    const timer = setTimeout(() => ctrl.abort(), timeoutMs);
+    try {
+      const res = await fetch(API_URL, {
+        method: 'POST',
+        headers: {
+          'content-type': 'application/json',
+          'x-api-key': apiKey,
+          'anthropic-version': '2023-06-01',
+        },
+        body: JSON.stringify({ model, max_tokens: maxTokens, ...(system ? { system } : {}), messages }),
+        signal: ctrl.signal,
+      });
+      if (res.ok) {
+        const data = await res.json();
+        return (data.content || []).map((c) => c.text || '').join('').trim();
+      }
+      const body = await res.text().catch(() => '');
+      // Retry transient server / rate-limit errors; fail fast on 4xx (bad key/model).
+      if ((res.status === 429 || res.status >= 500) && attempt < retries) {
+        lastErr = new Error(`Anthropic API ${res.status}`);
+      } else {
+        throw new Error(`Anthropic API ${res.status}: ${body.slice(0, 500)}`);
+      }
+    } catch (e) {
+      if (e.name === 'AbortError') e = new Error(`Anthropic API request timed out after ${timeoutMs}ms`);
+      const retryable = /timed out/.test(e.message) || e.name === 'TypeError' || /Anthropic API (429|5\d\d)/.test(e.message);
+      if (!retryable || attempt >= retries) throw e;
+      lastErr = e;
+    } finally {
+      clearTimeout(timer);
+    }
+    await new Promise((r) => setTimeout(r, 1000 * 2 ** attempt)); // backoff: 1s, 2s, 4s
   }
-  const data = await res.json();
-  return (data.content || []).map((c) => c.text || '').join('').trim();
+  throw lastErr || new Error('Anthropic API request failed.');
 }
 
 /** Parse "name: value" YAML-ish frontmatter + body from a SKILL.md string. */

evals/README.md

@@ -30,9 +30,13 @@ back to `results.example.json` (clearly labelled) so the page renders before you
 
 ### No local key? Run it in CI
 
-Add an `ANTHROPIC_API_KEY` repo secret, then go to **Actions → "Update Skill Leaderboard"
-→ Run workflow**. It runs the evals, commits `evals/results.json`, and the Pages deploy
-re-renders the public leaderboard with real numbers — no laptop required.
+1. Add an `ANTHROPIC_API_KEY` repo secret.
+2. Enable **Settings → Actions → General → Workflow permissions → "Allow GitHub Actions to
+   create and approve pull requests"** (so the workflow can open its results PR — `main`
+   requires PRs).
+3. **Actions → "Update Skill Leaderboard" → Run workflow.** It runs the evals and opens a
+   PR with `evals/results.json`. **Merge that PR** and the Pages deploy re-renders the
+   public leaderboard with real numbers — no laptop required.
 
 ## Add a case
 

evals/results.json

@@ -0,0 +1,148 @@
+{
+  "generatedAt": "2026-06-18T12:40:14.995Z",
+  "judge": "claude-opus-4-8",
+  "models": [
+    "claude-sonnet-4-6",
+    "claude-haiku-4-5-20251001"
+  ],
+  "dimensions": [
+    "structure",
+    "completeness",
+    "usefulness",
+    "grounding"
+  ],
+  "results": [
+    {
+      "skill": "rice-prioritisation",
+      "model": "claude-sonnet-4-6",
+      "scores": {
+        "structure": 5,
+        "completeness": 5,
+        "usefulness": 5,
+        "grounding": 5
+      },
+      "overall": 5
+    },
+    {
+      "skill": "rice-prioritisation",
+      "model": "claude-haiku-4-5-20251001",
+      "scores": {
+        "structure": 5,
+        "completeness": 5,
+        "usefulness": 5,
+        "grounding": 4
+      },
+      "overall": 4.75
+    },
+    {
+      "skill": "prd-template",
+      "model": "claude-sonnet-4-6",
+      "scores": {
+        "structure": 5,
+        "completeness": 5,
+        "usefulness": 5,
+        "grounding": 4
+      },
+      "overall": 4.75
+    },
+    {
+      "skill": "prd-template",
+      "model": "claude-haiku-4-5-20251001",
+      "scores": {
+        "structure": 5,
+        "completeness": 4,
+        "usefulness": 5,
+        "grounding": 3
+      },
+      "overall": 4.25
+    },
+    {
+      "skill": "cs-health-scorecard",
+      "model": "claude-sonnet-4-6",
+      "scores": {
+        "structure": 5,
+        "completeness": 5,
+        "usefulness": 5,
+        "grounding": 5
+      },
+      "overall": 5
+    },
+    {
+      "skill": "cs-health-scorecard",
+      "model": "claude-haiku-4-5-20251001",
+      "scores": {
+        "structure": 5,
+        "completeness": 5,
+        "usefulness": 5,
+        "grounding": 4
+      },
+      "overall": 4.75
+    },
+    {
+      "skill": "executive-summary",
+      "model": "claude-sonnet-4-6",
+      "scores": {
+        "structure": 5,
+        "completeness": 5,
+        "usefulness": 5,
+        "grounding": 5
+      },
+      "overall": 5
+    },
+    {
+      "skill": "executive-summary",
+      "model": "claude-haiku-4-5-20251001",
+      "scores": {
+        "structure": 5,
+        "completeness": 5,
+        "usefulness": 5,
+        "grounding": 4
+      },
+      "overall": 4.75
+    },
+    {
+      "skill": "competitive-analysis",
+      "model": "claude-sonnet-4-6",
+      "scores": {
+        "structure": 5,
+        "completeness": 4,
+        "usefulness": 5,
+        "grounding": 5
+      },
+      "overall": 4.75
+    },
+    {
+      "skill": "competitive-analysis",
+      "model": "claude-haiku-4-5-20251001",
+      "scores": {
+        "structure": 5,
+        "completeness": 4,
+        "usefulness": 5,
+        "grounding": 4
+      },
+      "overall": 4.5
+    },
+    {
+      "skill": "sprint-planning",
+      "model": "claude-sonnet-4-6",
+      "scores": {
+        "structure": 5,
+        "completeness": 5,
+        "usefulness": 5,
+        "grounding": 4
+      },
+      "overall": 4.75
+    },
+    {
+      "skill": "sprint-planning",
+      "model": "claude-haiku-4-5-20251001",
+      "scores": {
+        "structure": 5,
+        "completeness": 4,
+        "usefulness": 4,
+        "grounding": 3
+      },
+      "overall": 4
+    }
+  ]
+}

evals/run-evals.mjs

@@ -61,33 +61,53 @@ function parseScores(text) {
   return s;
 }
 
+// Run an async worker over `items` with at most `limit` in flight.
+async function pool(items, limit, worker) {
+  const out = [];
+  let i = 0;
+  await Promise.all(Array.from({ length: Math.min(limit, items.length) }, async () => {
+    while (i < items.length) {
+      const idx = i++;
+      out[idx] = await worker(items[idx]);
+    }
+  }));
+  return out;
+}
+
+async function scoreTask({ c, body, description, model }) {
+  try {
+    const output = await complete({ apiKey, model, system: runPrompt(body), messages: [{ role: 'user', content: c.input }], maxTokens: 3000 });
+    const judged = await complete({ apiKey, model: judge, messages: [{ role: 'user', content: judgePrompt(description, output) }], maxTokens: 200 });
+    const scores = parseScores(judged);
+    const overall = DIMENSIONS.reduce((a, d) => a + scores[d], 0) / DIMENSIONS.length;
+    process.stderr.write(`✓ ${c.skill} on ${model} — ${overall.toFixed(2)}/5\n`);
+    return { skill: c.skill, model, scores, overall: Math.round(overall * 100) / 100 };
+  } catch (e) {
+    process.stderr.write(`✗ ${c.skill} on ${model} — FAILED (${e.message})\n`);
+    return null;
+  }
+}
+
 async function main() {
   if (!apiKey) { console.error('Set ANTHROPIC_API_KEY to run evals.'); process.exit(1); }
+  const concurrency = parseInt(arg('concurrency', '4'), 10) || 4;
   const { cases } = JSON.parse(readFileSync(casesPath, 'utf8'));
-  const results = [];
 
+  // Build the full (case × model) task list.
+  const tasks = [];
   for (const c of cases) {
     const skillFile = join(root, 'skills', c.skill, 'SKILL.md');
     if (!existsSync(skillFile)) { console.error(`skip ${c.skill}: no SKILL.md`); continue; }
     const { meta, body } = parseSkill(readFileSync(skillFile, 'utf8'));
-    for (const model of models) {
-      process.stderr.write(`Running ${c.skill} on ${model}… `);
-      try {
-        const output = await complete({ apiKey, model, system: runPrompt(body), messages: [{ role: 'user', content: c.input }], maxTokens: 3000 });
-        const judged = await complete({ apiKey, model: judge, messages: [{ role: 'user', content: judgePrompt(meta.description || c.skill, output) }], maxTokens: 200 });
-        const scores = parseScores(judged);
-        const overall = DIMENSIONS.reduce((a, d) => a + scores[d], 0) / DIMENSIONS.length;
-        results.push({ skill: c.skill, model, scores, overall: Math.round(overall * 100) / 100 });
-        process.stderr.write(`${overall.toFixed(2)}/5\n`);
-      } catch (e) {
-        process.stderr.write(`FAILED (${e.message})\n`);
-      }
-    }
+    for (const model of models) tasks.push({ c, body, description: meta.description || c.skill, model });
   }
 
+  process.stderr.write(`Scoring ${tasks.length} runs (concurrency ${concurrency})…\n`);
+  const results = (await pool(tasks, concurrency, scoreTask)).filter(Boolean);
+
   const out = { generatedAt: new Date().toISOString(), judge, models, dimensions: DIMENSIONS, results };
   writeFileSync(outPath, JSON.stringify(out, null, 2));
-  console.log(`\nWrote ${outPath} — ${results.length} scored runs. Build the page: node scripts/build-leaderboard.mjs`);
+  console.log(`\nWrote ${outPath} — ${results.length}/${tasks.length} scored runs. Build the page: node scripts/build-leaderboard.mjs`);
 }
 
 main();

mcp/server.mjs

@@ -166,6 +166,7 @@ function handle(msg) {
 }
 
 process.stderr.write(`[${SERVER_NAME}] MCP server ready — ${SKILLS.length} skills, ${TOOLS.length} tools.\n`);
+process.stderr.write(`[${SERVER_NAME}] ⭐ Star the repo: https://github.com/mohitagw15856/pm-claude-skills\n`);
 const rl = createInterface({ input: process.stdin });
 rl.on('line', (line) => {
   const s = line.trim();

package.json

@@ -1,6 +1,6 @@
 {
   "name": "pm-claude-skills",
-  "version": "20.0.0",
+  "version": "20.1.0",
   "type": "module",
   "description": "167 professional Agent Skills (SKILL.md) + subagents + slash commands for Claude, ChatGPT, Gemini, Cursor, Codex & Hermes. Install into any AI coding tool with: npx pm-claude-skills add --agent <tool>.",
   "keywords": [
@@ -29,6 +29,10 @@
   "bugs": {
     "url": "https://github.com/mohitagw15856/pm-claude-skills/issues"
   },
+  "funding": {
+    "type": "github",
+    "url": "https://github.com/mohitagw15856/pm-claude-skills"
+  },
   "author": "Mohit Aggarwal",
   "bin": {
     "pm-claude-skills": "bin/cli.mjs",