generated from coulomb/repo-seed
session-memory: session-quality filter (WP-0005 T01)
detect/quality.py: is_real_coding_session drops health-checks / smoke-tests / interrupted / trivially-short sessions (event floor, repo present, substantive tool activity, non-trivial prompt). Wired into run_detect so signals only form over real sessions — fixes the abandoned false-positive. [detect.quality] knobs; existing detect/curate fixtures made realistic. 8 new tests; suite 80/80. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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@@ -31,6 +31,13 @@ enabled = true
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root = "~/.grok/sessions"
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glob = "*/*/chat_history.jsonl"
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# Detect phase (AGENTIC-WP-0005): quality filter — drop non-coding/trivial sessions
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# before signals form, so health-checks don't mint false-positive patterns.
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[detect.quality]
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min_events = 20 # below this many events, not a real coding session
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min_substantive = 3 # require >= this many substantive (edit/read/shell) tool calls
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min_prompt_len = 25 # first prompt shorter than this is treated as trivial
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# Curate phase (AGENTIC-WP-0004): catalog location + promotion evidence bar.
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[curate]
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catalog_dir = "session_memory/catalog" # files-first Pattern Catalog (committed)
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@@ -16,13 +16,14 @@ import os
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from ..core.store import Store
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from ..ingest import _expand, load_config
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from .cluster import cluster
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from .quality import filter_real, quality_config
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from .signals import extract_signals
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def run_detect(config: dict, *, min_frequency: int = 2) -> list[dict]:
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store_cfg = config.get("store", {})
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store = Store(_expand(store_cfg["db_path"]), _expand(store_cfg["blob_dir"]))
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digests = store.list_digests()
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digests = filter_real(store.list_digests(), quality_config(config))
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signals = extract_signals(digests)
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patterns = [p.to_dict() for p in cluster(signals, min_frequency=min_frequency)]
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store.save_patterns(patterns)
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@@ -56,7 +57,8 @@ def main(argv=None) -> int:
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config = load_config(args.config)
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store_cfg = config.get("store", {})
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n = len(Store(_expand(store_cfg["db_path"]), _expand(store_cfg["blob_dir"])).list_digests())
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all_digests = Store(_expand(store_cfg["db_path"]), _expand(store_cfg["blob_dir"])).list_digests()
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n = len(filter_real(all_digests, quality_config(config)))
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patterns = run_detect(config, min_frequency=args.min_frequency)
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if args.json:
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75
session_memory/detect/quality.py
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75
session_memory/detect/quality.py
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@@ -0,0 +1,75 @@
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"""Session-quality filter (T01).
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The capture layer ingests *every* session it finds — including API health-checks,
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smoke-tests, and interrupted runs (e.g. ``llm-connect`` firing "Say hello in one
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word", or a transcript that is just ``[Request interrupted by user]``). These are
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not real coding work, but the outcome heuristic labels the short ones ``abandoned``
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and the clusterer then mints false-positive "problem" patterns from them.
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:func:`is_real_coding_session` gates those out so Detect signals/clusters form only
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over genuine coding sessions. It is intentionally conservative — a session counts
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as real if it shows substantive activity, and is dropped only on clear trivial
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markers. Thresholds come from ``[detect.quality]`` in ``config.toml``.
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"""
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from __future__ import annotations
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from dataclasses import dataclass
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from typing import Optional
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# Prompt prefixes/markers that indicate a non-coding or interrupted session.
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_TRIVIAL_PROMPTS = (
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"say hello", "hello", "[request interrupted", "return only this json",
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"ping", "ok", "<system-reminder>",
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)
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# Tool buckets that count as "substantive" coding activity.
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_SUBSTANTIVE_TOOLS = (
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"Edit", "Write", "Read", "Bash", "search_replace", "write", "read_file",
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"run_terminal_command", "grep", "Grep", "glob", "Glob", "NotebookEdit",
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)
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@dataclass
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class QualityConfig:
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min_events: int = 20 # below this, not a real coding session
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min_substantive: int = 3 # >= this many substantive tool calls required
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min_prompt_len: int = 25 # first prompt shorter than this is suspect
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def quality_config(config: Optional[dict] = None) -> QualityConfig:
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d = (config or {}).get("detect", {}).get("quality", {}) if config else {}
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return QualityConfig(
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min_events=d.get("min_events", 20),
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min_substantive=d.get("min_substantive", 3),
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min_prompt_len=d.get("min_prompt_len", 25),
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)
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def _substantive_calls(digest: dict) -> int:
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hist = digest.get("tool_histogram") or {}
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return sum(n for t, n in hist.items() if t in _SUBSTANTIVE_TOOLS)
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def is_real_coding_session(digest: dict, config: Optional[QualityConfig] = None) -> bool:
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cfg = config or QualityConfig()
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if not digest.get("repo"):
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return False
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if digest.get("event_count", 0) < cfg.min_events:
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return False
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if _substantive_calls(digest) < cfg.min_substantive:
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return False
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prompt = (digest.get("first_prompt") or "").strip().lower()
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if len(prompt) < cfg.min_prompt_len:
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return False
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if any(prompt.startswith(p) for p in _TRIVIAL_PROMPTS):
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return False
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return True
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def filter_real(digests: list[dict], config: Optional[QualityConfig] = None) -> list[dict]:
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cfg = config or QualityConfig()
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return [d for d in digests if is_real_coding_session(d, cfg)]
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@@ -16,6 +16,9 @@ def _digest(uid, flavor, repo, **markers):
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"cost": {"input_tokens": 10, "output_tokens": 1},
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"markers": {"errors": markers.get("errors", 0), "retries": markers.get("retries", 0),
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"test_runs": 0, "edits": 0, "human_interventions": 0},
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# real coding session per the quality filter (WP-0005 T01)
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"event_count": 40, "first_prompt": "Fix the failing build and retry the suite",
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"tool_histogram": {"Bash": 20, "Edit": 12, "Read": 8},
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}
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@@ -15,6 +15,9 @@ def _digest(uid, flavor, repo, **markers):
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"cost": {"input_tokens": 10, "output_tokens": 1},
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"markers": {"errors": markers.get("errors", 0), "retries": markers.get("retries", 0),
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"test_runs": 0, "edits": 0, "human_interventions": 0},
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# fields the quality filter (WP-0005 T01) checks — real coding session
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"event_count": 40, "first_prompt": "Fix the failing build and retry the suite",
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"tool_histogram": {"Bash": 20, "Edit": 12, "Read": 8},
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}
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61
tests/test_detect_quality.py
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61
tests/test_detect_quality.py
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@@ -0,0 +1,61 @@
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"""Session-quality filter tests (T01)."""
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import os
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import sys
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sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from session_memory.detect.quality import ( # noqa: E402
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QualityConfig,
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filter_real,
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is_real_coding_session,
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quality_config,
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)
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def _digest(repo="agentic-resources", events=60, prompt="Implement the curate entrypoint",
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tools=None):
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return {
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"session_uid": "claude:x", "flavor": "claude", "repo": repo,
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"event_count": events, "first_prompt": prompt,
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"tool_histogram": tools if tools is not None else {"Bash": 20, "Edit": 15, "Read": 8},
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}
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def test_real_session_passes():
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assert is_real_coding_session(_digest()) is True
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def test_healthcheck_prompt_dropped():
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assert is_real_coding_session(_digest(events=3, prompt="Say hello in one word.",
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tools={})) is False
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def test_interrupted_dropped():
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assert is_real_coding_session(_digest(events=1, prompt="[Request interrupted by user]",
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tools={})) is False
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def test_too_short_dropped():
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assert is_real_coding_session(_digest(events=5)) is False
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def test_no_repo_dropped():
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assert is_real_coding_session(_digest(repo=None)) is False
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def test_no_substantive_tools_dropped():
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# plenty of events but only plumbing calls -> not real coding
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assert is_real_coding_session(
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_digest(tools={"mcp__state-hub__update_task_status": 40})) is False
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def test_filter_real_keeps_only_real():
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digs = [_digest(), _digest(events=3, prompt="hello", tools={}), _digest(repo=None)]
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assert len(filter_real(digs)) == 1
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def test_quality_config_from_toml():
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cfg = quality_config({"detect": {"quality": {"min_events": 50}}})
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assert cfg.min_events == 50
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assert cfg.min_substantive == 3 # default preserved
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88
workplans/AGENTIC-WP-0005-detect-hardening.md
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88
workplans/AGENTIC-WP-0005-detect-hardening.md
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@@ -0,0 +1,88 @@
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---
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id: AGENTIC-WP-0005
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type: workplan
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title: "Coding Session Memory — Detect Hardening (quality filter + infra signals)"
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domain: helix_forge
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repo: agentic-resources
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status: ready
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owner: codex
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topic_slug: helix-forge
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created: "2026-06-07"
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updated: "2026-06-07"
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state_hub_workstream_id: "d8b7b8d1-1d85-4d2a-8ccd-7b0366a9442d"
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---
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# Coding Session Memory — Detect Hardening
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A focused hardening pass (call it Phase 1.5) so the Detect output is trustworthy
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enough to drive an **infrastructure assessment**. Triggered by ad-hoc analysis of
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the live store after Phase 2:
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- Of **72 captured sessions, only 31 are real coding sessions**; the rest are
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health-checks / smoke-tests / interrupted runs (mostly `llm-connect` *"Say hello
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in one word"*). The `abandoned` outcome heuristic mislabels these, and Phase 2
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cataloged a **false-positive** "cross-flavor abandoned" pattern as
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`approved`/`distribution_ready`.
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- All 31 real sessions read as `success`, so the current signal set
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(outcome + markers + cost) surfaces almost no genuine friction.
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- The already-captured `tool_histogram` tells the real story: **~17% of tool
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activity in real sessions is State Hub MCP + task plumbing + `ToolSearch`
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schema-loading**, concentrated to 40–70% in some sessions — but `signals.py`
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never looks at it.
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No new capture is needed — this is analysis the data already supports.
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## Session-Quality Filter
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```task
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id: AGENTIC-WP-0005-T01
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status: done
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priority: high
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state_hub_task_id: "9f8b4304-0a37-4f66-ad34-d93e12fba0d8"
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```
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Add `detect/quality.py` with `is_real_coding_session(digest)` that filters out
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health-checks, smoke-tests, interrupted, and trivially-short sessions (event-count
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floor, repo present, substantive edit/tool activity, not a single hello/interrupt
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prompt). Wire it into the detect pipeline so signals/clusters only form over real
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sessions — fixing the `abandoned` false-positive. Knobs under `[detect]` in
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`config.toml`. Unit-tested on synthetic trivial-vs-real digests.
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## Infra-Overhead + Thrash Signals
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```task
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id: AGENTIC-WP-0005-T02
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status: todo
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priority: high
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state_hub_task_id: "10d57b05-a731-4ece-bf45-f6a98ac77555"
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```
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Add `tool_histogram`-based extractors to `detect/signals.py`: a shared tool-bucket
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helper (`shell` / `edit` / `read` / `statehub_mcp` / `task_mgmt` / `schema_load` /
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`other`); `sig_infra_overhead` (PROBLEM when the statehub+task+schema share of tool
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calls exceeds a threshold; magnitude = share; locus `infra_overhead`);
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`sig_schema_thrash` (`ToolSearch` count over threshold; locus `schema_load`);
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`sig_tool_thrash` (extreme single-tool repetition). Pure functions over digests;
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thresholds configurable. Unit-tested.
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## Re-run Live, Purge False Positives, Ranked Friction Report
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```task
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id: AGENTIC-WP-0005-T03
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status: todo
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priority: high
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state_hub_task_id: "8b9d029a-60d0-4caf-af62-4fcc9c9a645c"
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```
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Re-run `ingest → detect` over the real local sessions with the filter + new
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signals. Purge the false-positive catalog entries seeded in Phase 2 (the
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health-check `abandoned` pattern) and re-curate so the catalog reflects real
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friction. Produce a ranked **friction assessment** (`docs/ASSESSMENT-infra-friction.md`)
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of the major infrastructure problems — quantified per repo/flavor, infra-overhead
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share, schema-thrash — with recommendations (incl. the State Hub / MCP skill
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hypothesis). After workplan file updates, notify the operator to run from
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`~/state-hub`:
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```bash
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make fix-consistency REPO=agentic-resources
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```
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