feat(v0.6.5): execution-grounded skill-utility report (adam-skill-utility)

Ranks skills by good:bad outcome co-occurrence (Wilson LB + lift vs
baseline) over the journal's active_skills payloads — the SkillsInjector
(arXiv 2605.29794) execution-grounded utility signal Δ(s), computed from
data already collected, no training.

- reuses adam-score NEGATIVE_SIGNAL_TYPES + entrySeverity (single source of truth)
- registered in install.sh helper-script copy loop
- /reflect pre-step surfaces worst below-baseline skills to the USER as
  advisory (co-occurrence != causation; not fed to the analyst's proposal machinery)
- Test 119 added; full suite 141/141 green

README.md

@@ -13,7 +13,7 @@ Watches the friction in your coding sessions, clusters the signals via an LLM an
 
 [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)
 [![Version](https://img.shields.io/github/v/release/lukaszraczylo/claude-adam?label=version&color=blue)](https://github.com/lukaszraczylo/claude-adam/releases)
-[![Tests](https://img.shields.io/badge/tests-138%20passing-brightgreen.svg)](./adam/tests/run-tests.sh)
+[![Tests](https://img.shields.io/badge/tests-140%20passing-brightgreen.svg)](./adam/tests/run-tests.sh)
 [![Node](https://img.shields.io/badge/node-22%2B-339933.svg)](https://nodejs.org)
 [![Platform](https://img.shields.io/badge/platform-macOS%20%7C%20Linux-lightgrey.svg)]()
 
@@ -54,7 +54,7 @@ The installer copies files into `~/.claude/`, offers to merge ADAM's hook entrie
 Then:
 
 ```sh
-bash ~/.claude/adam/tests/run-tests.sh   # expect: 138 passed, 0 failed
+bash ~/.claude/adam/tests/run-tests.sh   # expect: 140 passed, 0 failed
 # … start a fresh Claude Code session …
 /reflect                                  # walks the proposal queue
 /reflect --explain                        # also shows the analyst's clustering trace
@@ -265,11 +265,12 @@ Or pass `--explain` to `/reflect` to render the full trace inline.
     │   ├── adam-apply-reinforcement.mjs    # reinforcement proposal apply
     │   ├── adam-upgrade.mjs                # .adam-new file UX (list/diff/accept)
     │   └── adam-archive.mjs                # post-apply journal cleanup
-    └── tests/run-tests.sh            # 138 isolated tests; never touches live state
+    └── tests/run-tests.sh            # 140 isolated tests; never touches live state
 ```
 
 ## What's new
 
+- **v0.6.4** — rollback now keeps its promise. `adam-rollback.mjs`'s docstring always claimed it "removes the ab-tracking entry (so it doesn't re-trigger)," but `executeRollback()` never did — so a rolled-back proposal kept flagging as `regressed` on every subsequent `/reflect`, triggering endless `not_found` rollback attempts. It now deletes the matching `ab-tracking.jsonl` row by `proposal_id` (preserving unrelated rows). Surfaced by running ADAM's own loop twice. 140 tests (up from 138).
 - **v0.6.3** — release-update notifier. `install.sh` now writes a `~/.claude/adam/.version` marker; `adam-nudge.mjs` (SessionStart) compares it against the latest GitHub release at most once/day (cached, 1.5 s network cap, best-effort — never blocks) and prints a **notify-only** one-line update prompt. Deliberately not auto-applied: re-running the installer resets ADAM's own `/reflect`-applied skill edits, so you choose when to update. Opt out with `ADAM_NO_UPDATE_CHECK=1`. See "Staying up to date". 138 tests (up from 134).
 - **v0.6.2** — two fixes surfaced by running ADAM's loop on a large real journal. **(1) A/B volume normalization** (`adam-ab-measure.mjs`): regressions are now measured on the signal's *share* of total activity (rate = count / window-total), not raw count — so a generally busier journal after an apply no longer masquerades as a regression. Falls back to raw delta when the signal is the only activity in the window (preserves prior behavior + tests); output adds `raw_delta_pct`, `pre_total`, `post_total`, `normalized` for transparency. **(2) Memory frontmatter schema** (`agents/adam.md`, `SKILL.md`): the drafting protocol now emits the live auto-memory shape — `name` = slug + a `metadata: {node_type, type, originSessionId}` block — instead of flat `type:`/`originSessionId:`, so auto-applied memories load and categorize correctly. 134 tests (up from 132).
 - **v0.6.1** — new `file_reread` signal (MOSS §1 harness self-modification, proposed and approved through ADAM's own `/reflect` loop). Consecutive Reads of the same file at different `offset`/`limit` escaped `retry_loop`'s arg-hash dedup and leaked into `tool_error_loop`; `file_reread` now catches them (same file ≥3× in the 10-event window, offset-agnostic, guarded against double-counting byte-identical reads). Fully wired: detection (`adam-observe.mjs`), 14-day window (`adam-window.mjs`), severity divisor 3 (`adam-score.mjs`), file-basename clustering (`adam-batch.mjs`), and the analyst rubric/spec. 132 tests (up from 126).

adam/scripts/adam-rollback.mjs

@@ -167,6 +167,23 @@ export function executeRollback(plan, adamRoot, opts = {}) {
     result.actions.push(`nudge failed: ${e.message}`);
   }
 
+  // Remove the ab-tracking entry for this proposal so it stops re-flagging as a
+  // regression on every future /reflect (which would trigger endless not_found
+  // rollback attempts). This is the documented contract for rollback.
+  try {
+    const abPath = join(adamRoot, "ab-tracking.jsonl");
+    if (existsSync(abPath)) {
+      const before = readJsonlSafe(abPath);
+      const kept = before.filter((e) => !(e && e.proposal_id === plan.proposal_id));
+      if (kept.length !== before.length) {
+        writeFileSync(abPath, kept.length ? kept.map((e) => JSON.stringify(e)).join("\n") + "\n" : "");
+        result.actions.push(`ab-tracking entry removed (${before.length - kept.length})`);
+      }
+    }
+  } catch (e) {
+    result.actions.push(`ab-tracking cleanup failed: ${e.message}`);
+  }
+
   result.status = "rolled_back";
   return result;
 }

adam/scripts/adam-skill-utility.mjs

@@ -0,0 +1,272 @@
+#!/usr/bin/env node
+// adam-skill-utility.mjs — execution-grounded per-skill utility report.
+//
+// Inspired by SkillsInjector (arXiv 2605.29794v1), which shows skill injection
+// should be driven by execution-grounded *utility* Δ(t,s), not surface keyword
+// match — and that some topically-relevant skills actively *lower* success.
+// The paper learns Δ(t,s) from rollout outcomes. We don't train anything: the
+// adam journal already attaches `active_skills` to both positive outcome events
+// (task_completed, clean_recovery, correction_free_streak) and negative ones
+// (dead_end, tool_error_loop, …). So we approximate Δ(s) as a co-occurrence
+// ratio over the data we already collect.
+//
+// CAVEAT (honest): this is CO-OCCURRENCE, not causation. A skill active during
+// a dead_end did not necessarily cause it. Read the report as "which skills
+// correlate with friction", a prompt for review — never as proof.
+//
+// Metric, per skill active during scored events:
+//   pos / neg     — count of positive / negative outcome events it co-occurred with
+//   share         — pos / (pos+neg)
+//   lift          — share − global_baseline   (>0 above baseline, <0 below)
+//   wLB           — Wilson 95% lower bound of the positive proportion; ranks
+//                   *reliably* below-baseline skills to the top (sample-aware)
+//   sevNeg        — severity-weighted negative sum (adam SEVERITY_DIVISORS)
+//   topNeg        — dominant negative event type
+// Rows sorted worst-first (lowest wLB) so harmful/over-eager skills surface.
+//
+// CLI:
+//   adam-skill-utility.mjs [--home <path>] [--input <jsonl-path>]
+//                          [--min <n>] [--days <n>] [--json]
+//   --min   min event count (n) to treat a skill's signal as confident (default 8)
+//   --days  only consider events within the last <n> days (default: all)
+//   --json  emit machine-readable JSON instead of the text table
+//
+// Reuses adam-utils (jsonl IO) and adam-score (canonical NEGATIVE set +
+// severity), so the positive/negative taxonomy stays single-sourced.
+
+import { readFileSync } from "node:fs";
+import { join } from "node:path";
+import { homedir } from "node:os";
+import { readJsonlSafe, listJsonlFiles } from "./adam-utils.mjs";
+import { NEGATIVE_SIGNAL_TYPES, entrySeverity } from "./adam-score.mjs";
+
+// Positive outcome signals (mirror adam's vocabulary; task_completed is adam's
+// canonical "clean task", the same one adam-score uses for reinforcement).
+export const POSITIVE_SIGNAL_TYPES = new Set([
+  "task_completed",
+  "clean_recovery",
+  "correction_free_streak",
+]);
+
+export const DEFAULT_MIN_SAMPLE = 8;
+
+function round(x) {
+  return Math.round(x * 1000) / 1000;
+}
+
+// Wilson score interval lower bound for a binomial proportion. Sample-aware:
+// a skill with 1 pos / 0 neg does NOT outrank one with 40 pos / 2 neg.
+export function wilsonLower(pos, n, z = 1.96) {
+  if (n <= 0) return 0;
+  const p = pos / n;
+  const z2 = z * z;
+  const denom = 1 + z2 / n;
+  const center = p + z2 / (2 * n);
+  const margin = z * Math.sqrt((p * (1 - p) + z2 / (4 * n)) / n);
+  return (center - margin) / denom;
+}
+
+// computeSkillUtility: pure. entries → { baseline, totalPos, totalNeg, min, skills[] }.
+export function computeSkillUtility(entries, opts = {}) {
+  const min = Number.isFinite(opts.min) ? opts.min : DEFAULT_MIN_SAMPLE;
+  const per = new Map();
+  let totalPos = 0;
+  let totalNeg = 0;
+
+  for (const e of entries || []) {
+    if (!e || typeof e !== "object") continue;
+    const isPos = POSITIVE_SIGNAL_TYPES.has(e.type);
+    const isNeg = NEGATIVE_SIGNAL_TYPES.has(e.type);
+    if (!isPos && !isNeg) continue;
+
+    if (isPos) totalPos++;
+    else totalNeg++;
+    const sev = isNeg ? entrySeverity(e) : 0;
+
+    const skills = Array.isArray(e.active_skills) ? e.active_skills : [];
+    for (const slug of skills) {
+      if (!slug || typeof slug !== "string") continue;
+      if (!per.has(slug)) {
+        per.set(slug, { pos: 0, neg: 0, sevNeg: 0, negTypes: {}, recent_ts: null });
+      }
+      const s = per.get(slug);
+      if (isPos) {
+        s.pos++;
+      } else {
+        s.neg++;
+        s.sevNeg += sev;
+        s.negTypes[e.type] = (s.negTypes[e.type] || 0) + 1;
+      }
+      const ts = typeof e.ts === "string" ? e.ts : null;
+      if (ts && (!s.recent_ts || ts > s.recent_ts)) s.recent_ts = ts;
+    }
+  }
+
+  const scored = totalPos + totalNeg;
+  const baseline = scored ? totalPos / scored : 0;
+
+  const skills = [];
+  for (const [slug, s] of per.entries()) {
+    const n = s.pos + s.neg;
+    const share = n ? s.pos / n : 0;
+    const topNeg = Object.entries(s.negTypes).sort((a, b) => b[1] - a[1])[0];
+    skills.push({
+      skill: slug,
+      n,
+      pos: s.pos,
+      neg: s.neg,
+      share: round(share),
+      lift: round(share - baseline),
+      wLB: round(wilsonLower(s.pos, n)),
+      sevNeg: s.sevNeg,
+      topNeg: topNeg ? topNeg[0] : null,
+      lowSample: n < min,
+      recent_ts: s.recent_ts,
+    });
+  }
+  // Worst-first: lowest Wilson lower bound, then most negatives.
+  skills.sort(
+    (a, b) =>
+      a.wLB - b.wLB ||
+      b.neg - a.neg ||
+      (a.skill < b.skill ? -1 : a.skill > b.skill ? 1 : 0),
+  );
+
+  return { baseline: round(baseline), totalPos, totalNeg, min, skills };
+}
+
+function parseArgs(argv) {
+  const args = { home: null, input: null, min: DEFAULT_MIN_SAMPLE, days: null, json: false, help: false };
+  for (let i = 0; i < argv.length; i++) {
+    const a = argv[i];
+    if (a === "--home" && i + 1 < argv.length) args.home = argv[++i];
+    else if (a === "--input" && i + 1 < argv.length) args.input = argv[++i];
+    else if (a === "--min" && i + 1 < argv.length) args.min = Number(argv[++i]);
+    else if (a === "--days" && i + 1 < argv.length) args.days = Number(argv[++i]);
+    else if (a === "--json") args.json = true;
+    else if (a === "--help" || a === "-h") args.help = true;
+  }
+  return args;
+}
+
+function readAllStdin() {
+  try { return readFileSync(0, "utf8"); } catch { return ""; }
+}
+
+function entriesFromText(text) {
+  const out = [];
+  for (const line of (text || "").split("\n")) {
+    if (!line) continue;
+    try { out.push(JSON.parse(line)); } catch { /* skip */ }
+  }
+  return out;
+}
+
+// Same gathering strategy as adam-score.mjs: explicit --input, else piped
+// stdin (e.g. from adam-window.mjs), else the active journal + rotated files.
+function gatherInputEntries(args) {
+  if (args.input) return readJsonlSafe(args.input);
+  if (!process.stdin.isTTY) {
+    const piped = readAllStdin();
+    if (piped && piped.trim()) return entriesFromText(piped);
+  }
+  const home = args.home || join(homedir(), ".claude");
+  const adamRoot = join(home, "adam");
+  const sources = [join(adamRoot, "journal.jsonl"), ...listJsonlFiles(join(adamRoot, "journal"))];
+  const all = [];
+  for (const p of sources) {
+    for (const e of readJsonlSafe(p)) all.push(e);
+  }
+  return all;
+}
+
+function filterByDays(entries, days) {
+  if (!Number.isFinite(days) || days <= 0) return entries;
+  // Anchor the window to the newest ts in the data (avoids Date.now()
+  // nondeterminism and works on historical exports).
+  let maxMs = 0;
+  for (const e of entries) {
+    const ms = e && typeof e.ts === "string" ? Date.parse(e.ts) : NaN;
+    if (Number.isFinite(ms) && ms > maxMs) maxMs = ms;
+  }
+  if (!maxMs) return entries;
+  const cutoff = maxMs - days * 86400000;
+  return entries.filter((e) => {
+    const ms = e && typeof e.ts === "string" ? Date.parse(e.ts) : NaN;
+    return Number.isFinite(ms) ? ms >= cutoff : false;
+  });
+}
+
+function pad(s, w) {
+  s = String(s);
+  return s.length >= w ? s : s + " ".repeat(w - s.length);
+}
+function padL(s, w) {
+  s = String(s);
+  return s.length >= w ? s : " ".repeat(w - s.length) + s;
+}
+
+function renderText(report) {
+  const { baseline, totalPos, totalNeg, min, skills } = report;
+  const lines = [];
+  lines.push("adam skill-utility report — execution-grounded Δ(skill) proxy");
+  lines.push(
+    `baseline positive-rate ${(baseline * 100).toFixed(1)}%  ` +
+      `(${totalPos} positive / ${totalNeg} negative outcome events)  min-sample n≥${min}`,
+  );
+  lines.push("CAVEAT: co-occurrence, not causation. Worst-first. ⚠ = below baseline with n≥min.");
+  lines.push("");
+  const head =
+    pad("skill", 44) + padL("n", 5) + padL("pos", 6) + padL("neg", 6) +
+    padL("share", 8) + padL("lift", 8) + padL("wLB", 7) + padL("sevNeg", 8) +
+    "  " + pad("topNeg", 18) + "flag";
+  lines.push(head);
+  lines.push("-".repeat(head.length));
+  for (const s of skills) {
+    const below = s.lift < 0 && !s.lowSample;
+    const flag = below ? "⚠" : s.lowSample ? "·(low n)" : "";
+    lines.push(
+      pad(s.skill, 44) +
+        padL(s.n, 5) +
+        padL(s.pos, 6) +
+        padL(s.neg, 6) +
+        padL((s.share * 100).toFixed(0) + "%", 8) +
+        padL((s.lift >= 0 ? "+" : "") + (s.lift * 100).toFixed(0) + "%", 8) +
+        padL(s.wLB.toFixed(2), 7) +
+        padL(s.sevNeg, 8) +
+        "  " +
+        pad(s.topNeg || "-", 18) +
+        flag,
+    );
+  }
+  return lines.join("\n");
+}
+
+function main() {
+  const args = parseArgs(process.argv.slice(2));
+  if (args.help) {
+    process.stdout.write(
+      "usage: adam-skill-utility.mjs [--home <path>] [--input <jsonl-path>] " +
+        "[--min <n>] [--days <n>] [--json]\n",
+    );
+    process.exit(0);
+  }
+  try {
+    let entries = gatherInputEntries(args);
+    entries = filterByDays(entries, args.days);
+    const report = computeSkillUtility(entries, { min: args.min });
+    if (args.json) {
+      process.stdout.write(JSON.stringify(report) + "\n");
+    } else {
+      process.stdout.write(renderText(report) + "\n");
+    }
+    process.exit(0);
+  } catch (e) {
+    process.stderr.write(`adam-skill-utility error: ${e.message}\n`);
+    process.exit(1);
+  }
+}
+
+if (import.meta.url === `file://${process.argv[1]}`) {
+  main();
+}

adam/tests/run-tests.sh

@@ -18,6 +18,7 @@ APPLYREIN="$REAL_HOME/.claude/adam/scripts/adam-apply-reinforcement.mjs"
 UPGRADE="$REAL_HOME/.claude/adam/scripts/adam-upgrade.mjs"
 BATCH="$REAL_HOME/.claude/adam/scripts/adam-batch.mjs"
 ROLLBACK="$REAL_HOME/.claude/adam/scripts/adam-rollback.mjs"
+SKILLUTIL="$REAL_HOME/.claude/adam/scripts/adam-skill-utility.mjs"
 
 TMP_HOME="$(mktemp -d -t adam-test.XXXXXX)"
 trap 'rm -rf "$TMP_HOME"' EXIT INT TERM
@@ -37,6 +38,7 @@ APPLYREIN_RUN(){ HOME="$TMP_HOME" node "$APPLYREIN" "$@" --home "$TMP_HOME/.clau
 UPGRADE_RUN() { HOME="$TMP_HOME" node "$UPGRADE" "$@"; }
 BATCH_RUN()   { HOME="$TMP_HOME" node "$BATCH" "$@"; }
 ROLLBACK_RUN(){ HOME="$TMP_HOME" node "$ROLLBACK" "$@"; }
+SKILLUTIL_RUN(){ HOME="$TMP_HOME" node "$SKILLUTIL" "$@"; }
 
 PASS=0
 FAIL=0
@@ -2109,6 +2111,71 @@ else
 fi
 rm -f "$ROOT/.update-check.json"
 
+# --- Test 118: rollback removes the proposal's ab-tracking entry (stops re-flagging) ---
+echo "Test 118: rollback purges ab-tracking entry by proposal_id"
+reset_state
+rm -f "$ROOT/proposals/"*rollback* "$ROOT/active-nudges.json"
+cat > "$ROOT/applied/2026-05-20T00-00-00Z-rb-ab-001.md" <<'EOF'
+---
+id: rb-ab-001
+type: memory
+target: ~/.claude/projects/-Users-nvm/memory/x.md
+confidence: 5
+blast_radius: low
+status: applied
+source_entries:
+  - "2026-05-18T10:00:00Z"
+---
+# Why
+test
+# Rollback
+```bash
+rm -f x
+```
+EOF
+cat > "$ROOT/ab-tracking.jsonl" <<'EOF'
+{"applied_at":1,"proposal_id":"rb-ab-001","proposal_type":"memory","target_skill":"x","proposal_fingerprint":"f1","originating_signals":[{"type":"correction","count":3}],"pre_window_days":7}
+{"applied_at":2,"proposal_id":"keep-me-002","proposal_type":"memory","target_skill":"y","proposal_fingerprint":"f2","originating_signals":[{"type":"correction","count":3}],"pre_window_days":7}
+EOF
+ROLLBACK_RUN --proposal-id rb-ab-001 --home "$TMP_HOME/.claude" >/dev/null 2>&1 || true
+if grep -q '"proposal_id":"rb-ab-001"' "$ROOT/ab-tracking.jsonl"; then
+  echo "  FAIL: rolled-back proposal still in ab-tracking.jsonl"; FAIL=$((FAIL+1))
+else
+  echo "  PASS: rolled-back proposal removed from ab-tracking.jsonl"; PASS=$((PASS+1))
+fi
+if grep -q '"proposal_id":"keep-me-002"' "$ROOT/ab-tracking.jsonl"; then
+  echo "  PASS: unrelated ab-tracking entry preserved"; PASS=$((PASS+1))
+else
+  echo "  FAIL: rollback clobbered an unrelated ab-tracking entry"; FAIL=$((FAIL+1))
+fi
+rm -f "$ROOT/proposals/"*rb-ab-001* "$ROOT/applied/"*rb-ab-001* "$ROOT/ab-tracking.jsonl" "$ROOT/active-nudges.json"
+
+# --- Test 119: adam-skill-utility ranks friction-correlated skills below baseline ---
+echo "Test 119: adam-skill-utility computes per-skill good:bad utility (execution-grounded Δ)"
+reset_state
+SU_INPUT="$TMP_HOME/su-input.jsonl"
+{
+  for i in 1 2 3 4 5; do echo "{\"ts\":\"2026-05-20T0$i:00:00Z\",\"session\":\"sSU\",\"type\":\"task_completed\",\"active_skills\":[\"goodskill\"]}"; done
+  for i in 1 2 3 4 5; do echo "{\"ts\":\"2026-05-20T1$i:00:00Z\",\"session\":\"sSU\",\"type\":\"dead_end\",\"count\":8,\"active_skills\":[\"badskill\"]}"; done
+} > "$SU_INPUT"
+su_out=$(SKILLUTIL_RUN --input "$SU_INPUT" --json --min 3 2>/dev/null)
+su_check=$(echo "$su_out" | node -e '
+let buf=""; process.stdin.on("data",d=>buf+=d).on("end",()=>{
+  try {
+    const p=JSON.parse(buf);
+    const bad=p.skills.find(s=>s.skill==="badskill");
+    const good=p.skills.find(s=>s.skill==="goodskill");
+    const ok = bad && good && bad.lift<0 && good.lift>0 && p.skills[0].skill==="badskill" && bad.neg===5 && good.pos===5;
+    console.log(ok?"ok":"bad:"+JSON.stringify({bad,good,first:p.skills[0]&&p.skills[0].skill}));
+  } catch(e){ console.log("parse-error:"+e.message); }
+});')
+if [ "$su_check" = "ok" ]; then
+  echo "  PASS: badskill below baseline + ranked worst-first, goodskill above"; PASS=$((PASS+1))
+else
+  echo "  FAIL: skill-utility ranking wrong ($su_check)"; FAIL=$((FAIL+1))
+fi
+rm -f "$SU_INPUT"
+
 echo
 echo "Results: $PASS passed, $FAIL failed"
 [ "$FAIL" = "0" ]

agents/adam.md

@@ -516,7 +516,7 @@ MOSS's core thesis: "routing, hook ordering, state invariants, and dispatch live
 2. `cross_session_evidence == true` (≥5 occurrences across ≥3 sessions)
 3. `auto_apply_eligible: false` — **always**. Harness edits are never auto-applied.
 4. `blast_radius: high`
-5. Proposal includes a `# Test verification` section with the command `bash ~/.claude/adam/tests/run-tests.sh` and the expected result "138 passed, 0 failed" (or current pass count). The skill runs this test before applying.
+5. Proposal includes a `# Test verification` section with the command `bash ~/.claude/adam/tests/run-tests.sh` and the expected result "140 passed, 0 failed" (or current pass count). The skill runs this test before applying.
 6. Change is surgical: ≤30 LOC diff, single file.
 7. `# Diagnosis` reconstructs the causal chain from harness-level behavior (not from text-artifact behavior). The mismatch must name a specific code path (function, regex, threshold) in the target file.
 

install.sh

@@ -126,7 +126,8 @@ copy_file "$SRC/adam/scripts/adam-archive.mjs"                       "$DEST/adam
 copy_file "$SRC/adam/scripts/adam-upgrade.mjs"                       "$DEST/adam/scripts/adam-upgrade.mjs"
 # v0.3.3 helper scripts — invoked from SKILL.md / hooks / analyst flow
 for _adam_script in adam-utils adam-window adam-explain adam-nudge-eligibility adam-cooldown \
-                    adam-score adam-ab-measure adam-apply-reinforcement adam-batch adam-rollback; do
+                    adam-score adam-ab-measure adam-apply-reinforcement adam-batch adam-rollback \
+                    adam-skill-utility; do
   copy_file "$SRC/adam/scripts/${_adam_script}.mjs" \
             "$DEST/adam/scripts/${_adam_script}.mjs"
   run "chmod +x \"$DEST/adam/scripts/${_adam_script}.mjs\""

skills/adam-self-improvement/SKILL.md

@@ -81,6 +81,14 @@ node ~/.claude/adam/scripts/adam-batch.mjs --input /tmp/adam-windowed-journal.js
 
 This groups entries by (signal_type, cluster_key) and reports per-batch metadata including `has_context_window` (whether transcript evidence is attached). If the script fails: log stderr, pass `null` to the analyst (graceful degradation — analyst falls back to raw journal clustering).
 
+**Skill utility** (execution-grounded selection signal, in the spirit of SkillsInjector arXiv 2605.29794 — utility Δ(s), not surface match): compute per-skill good:bad outcome ratios over the windowed journal:
+
+```bash
+node ~/.claude/adam/scripts/adam-skill-utility.mjs --input /tmp/adam-windowed-journal.jsonl --json > /tmp/adam-skill-utility.json 2> /tmp/adam-skill-utility.log
+```
+
+This ranks skills by how often they co-occur with positive (`task_completed`, `clean_recovery`, `correction_free_streak`) vs negative outcome events, surfacing skills below the baseline positive rate (with sufficient sample) — advisory candidates for description disambiguation or archival. **CO-OCCURRENCE, NOT CAUSATION**: display the worst 3 below-baseline skills (`lift < 0`, not low-sample) to the *user* as a one-line advisory before listing proposals (e.g. `skill-utility: chezmoi 9% pos n=85, ghostty-config 14% pos n=50, …`). Do NOT feed this into the analyst's proposal machinery or auto-draft skill-archival from it — the human decides. If the script fails: log stderr, skip (best-effort).
+
 ### 2. Dispatch the analyst (two-stage pipeline)
 
 MOSS §3.3: "A single prompt asked to diagnose, plan, implement, verify, and decide overloads context and produces lower-quality output than a sequenced flow." The analyst is dispatched in two stages with a validation gate between them.