bvandeusenandClaude Opus 5
277f5df515
Found by verifying the previous fix on live data — the check that fix was
meant to make possible.
write_path near_misses.max 0.822 p90 0.7521
top_score.min 0.6857 so the bar is at or below this
A "rejection" that outscored every acceptance, and not one outlier: the p90
is above the bar too.
#3739's fix keyed on `suppressed_count`, and I justified its NULL branch as
"null means the caller passed its exclusions INTO the search, so the score
is already post-exclusion". That holds for auto_inject and reuse_slot, both
of which log the RAW search output and do their Python filtering after. It
does not hold for write_path, the one note arm that filters TWICE:
`exclude_ids` takes `seen - pulled_seen` into the search, but the
pulled-and-seen ids stay in the query on purpose — the arm's query doubles
as the resemblance test — and are dropped afterwards in Python. So the row
carries a POST-filter count beside a PRE-filter score.
The suppression column cannot rescue it the way it does for the rule arms.
This arm's count would be PARTIAL — covering the drops made here and not
the ones `exclude_ids` made inside the search — and a partial number under
a name that reads as complete is the substitution this milestone exists to
stop.
So it reports null whenever its own filter removed anything: not measured
on this call, because the bar was not the only thing that turned something
away. Calls that withheld nothing keep reporting, which is most of them.
Both directions are asserted. Without the second test, setting the field to
null unconditionally would pass the first while deleting the measurement
#3670 was built for.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_011cPyzNnegXHr5iRMzzy5KJ
Fabled Scribe
A self-hosted work system-of-record for software projects, built to be driven by Claude Code. Notes, tasks, issues, projects, milestones, rules, and stored processes — reachable from Claude via a built-in MCP endpoint and a bundled Claude Code plugin, with a clean web UI for humans. No in-app LLM; Claude is the sole assistant.
Features
Notes and tasks with a Markdown editor, sub-tasks, milestones, issues, and kanban project workspaces. Stored processes, an engineering rulebook system (with an inception step that decides what each project inherits), and semantic search with proactive knowledge-injection into Claude's context. A knowledge graph, per-user/group sharing, and a built-in MCP server (/mcp) plus a bundled Claude Code plugin so Claude can record and recall your work directly.
Quick Start
Prerequisites: Docker and Docker Compose. No GPU or local model needed — Claude is the sole assistant, reached over MCP.
Download docker-compose.quickstart.yml from this repo, then:
# Optional but recommended — set a secret key
export SECRET_KEY=your-random-secret-here
docker compose -f docker-compose.quickstart.yml up -d
Open http://localhost:5000. The first user to register becomes admin. To connect Claude, create an API key under Settings → API Keys and install the Claude Code plugin — see API Keys & MCP.
Development: To build from source, see Development.
Documentation
| Doc | Contents |
|---|---|
| Architecture | Stack, design decisions, data models, key services |
| Configuration | Environment variables, Docker Compose, production setup, security |
| Features | Detailed feature breakdown and keyboard shortcuts |
| Development | Dev workflow, CI/CD, migrations, release process |
| API Keys & MCP | API key management and Fable MCP install guide |
| SSO / OAuth | OIDC setup for Authentik, Keycloak, and other providers |
| API Reference | All REST API endpoints |
License
This project is privately maintained.