scripts/librarian_survey.py walks docs/archive/*.md and dispatches every entry without a research counterpart through the same prompt assembly as librarian_promote.py. Outputs land under runs/tmp/librarian-survey-<timestamp>/, classified into: <stem>.md draft, ready to copy into docs/research/ <stem>.SKIP.txt LLM's one-line "not promotable" reason <stem>.ERROR.txt CLI stderr if the call itself failed Counterpart detection uses exact stem match plus a tail-match heuristic so research notes that intentionally drop a domain prefix still suppress their archive. Verified against the current tree: docs/archive/deep-cfr-opponent-policy-network-divergence-* is correctly recognized as already covered by docs/research/opponent-policy-network-divergence.md. --dry-run lists candidates and suggested research targets without calling the LLM. --max N caps processed archives per run, useful as a cost guard. Sequential dispatch; one LLM call per archive. Plan updated to mark survey mode complete. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
253 lines
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Markdown
253 lines
11 KiB
Markdown
# Plan: Vendor-Agnostic Librarian
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**Status:** Design phase. AGENTS.md "Docs & Experiment Workflow" section
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landed in commit `09d5815` (2026-05-07). Shell script and prompt-file
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move not yet started.
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**Owner:** operator-driven; Claude/Codex/Gemini may execute parts.
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**Background:** A `librarian` subagent at `.claude/agents/librarian.md`
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already drafts research notes and surveys docs, but it is Claude-only,
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read-mostly, and cannot be triggered periodically. Doc placement rules
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also lived inside that prompt instead of AGENTS.md, so non-librarian
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agents never saw them.
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## Goal
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Split documentation hygiene into two layers:
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1. **Authoring rules in AGENTS.md** — every agent reads these on every
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turn, so docs land in the right place at write time.
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2. **`scripts/librarian.sh`** — periodic, vendor-agnostic, never
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auto-applies. Catches drift that Layer 1 missed.
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Layer 1 already exists (commit `09d5815`). This plan covers Layer 2.
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## Non-Goals
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- Replacing the existing `librarian.md` prompt content. The note-drafting
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prompt is reused as a Stage 2 backend; only its location moves.
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- Modifying `docs/archive/` or `runs/archive/`. Read-only forever.
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- Editing code, configs, or running training/benchmarks from the
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librarian. Doc/memory work only.
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- Any `auto-apply` mode. Librarian only proposes; humans (or a follow-up
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PR) apply.
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## Architecture
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Three stages, run in order. Each stage is independently invocable for
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debugging.
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### Stage 1 — Deterministic lint (no LLM)
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Pure shell + `rg`/`find`/small Python helpers + [`lychee`](https://github.com/lycheeverse/lychee).
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Output: a JSON report at `runs/tmp/librarian-<timestamp>.json`. Checks:
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- **Markdown link integrity** (lychee): every `[text](path)` link in
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`docs/**` and `README.md` resolves; anchors point to real headers.
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Run `lychee --offline --root-dir . docs/**/*.md`. Precedent:
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`~/dev/coolrl/src/coolrl/dev/check_doc_links.py` wraps the same call
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for the sibling repo. We can lift that wrapper as-is.
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- **Code-docs parity** (custom; lychee does not cover this): every
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`path/to/file.py:NN` citation in `docs/**` resolves (file exists,
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line within range). These are inline prose, not markdown links, so
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lychee ignores them. Short Python helper required.
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- **Stale plans**: `docs/plans/*.md` with mtime > N days and no recent
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git commit referencing them.
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- **Promotable archive**: `docs/archive/<name>-*.md` with no
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`docs/research/<name>.md` counterpart, where the archive body
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contains durable-conclusion language.
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- **MEMORY.md drift**: index lines in `~/.claude/projects/.../MEMORY.md`
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that disagree with the target file's `description:` frontmatter.
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- **Duplicate prose**: pairs of docs with high text overlap (e.g., a
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research note that copies an archive body instead of linking it).
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- **Oversize**: files past the 500-line soft cap in AGENTS.md.
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No LLM calls in Stage 1. Cheap to run frequently.
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### Stage 2 — LLM judgment (vendor-agnostic)
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Reads the Stage 1 report and the relevant doc bodies, dispatches to an
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LLM CLI selected by env var:
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```bash
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LIBRARIAN_LLM=claude # claude code
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LIBRARIAN_LLM=codex # codex cli
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LIBRARIAN_LLM=gemini # gemini cli
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```
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The system prompt is loaded from `scripts/librarian-prompt.md` (moved
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from `.claude/agents/librarian.md`; same content). LLM produces:
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- Research-note drafts for promotable archive entries.
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- MEMORY.md drift fixups (one-line diffs).
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- Duplicate-doc merge proposals.
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Output format: a unified diff + a short rationale per change. Never
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written to disk by the LLM directly — emitted as a patch file under
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`runs/tmp/librarian-<timestamp>.patch`.
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### Stage 3 — Dry-run apply (default) / human apply
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Default: print the patch and exit. With `--apply`: `git apply` the patch
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(still requires the human to commit). Conflicts surface as standard
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patch failures — operator resolves manually.
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`docs/archive/` and `runs/archive/` are filtered out of any patch
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target before apply.
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## Concurrency Policy
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Librarian is **never invoked from within an active agent session**. It
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runs on demand by the operator (or via cron / post-commit hook). Because
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Stage 3 is propose-only by default, two parties editing the same file
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cannot corrupt each other — git's 3-way merge handles overlap when the
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operator applies the patch.
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## Open Questions
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- Cron cadence? (start with manual-only; add cron once Stage 1 is
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stable)
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- "Durable-conclusion language" detection in Stage 1 — keyword heuristic
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vs. defer to Stage 2 entirely. Default to deferring; Stage 1 just
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flags every archive without a research counterpart.
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- Where the Stage 1 ignore-list lives once false positives accumulate.
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Tentatively `scripts/librarian-ignore.txt` with one rg-style pattern
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per line.
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## Progress
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- ✅ AGENTS.md "Docs & Experiment Workflow" section landed
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(commit `09d5815`, 2026-05-07).
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- ✅ Plan drafted at `docs/plans/librarian.md` (this file).
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- ✅ Prompt moved: `.claude/agents/librarian.md` →
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`scripts/librarian-prompt.md`. Claude-specific subagent registration
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removed.
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- ✅ Stage 1, piece 1: `scripts/librarian_check_links.py` (lychee
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wrapper). Caught one stale README link on first run (commit
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`b9bbb4f`).
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- ✅ Stage 1, piece 2: `scripts/librarian_check_citations.py` (custom
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`file:line` citation checker over inline-code spans). Skips
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`docs/archive/` and `docs/plans/archive/`. Ignore list at
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`scripts/librarian-ignore.txt` for intentional future-tense
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references. Caught one real drift in
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`docs/research/optimization_sequencing.md` (path moved into
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`docs/plans/archive/`).
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- ✅ Stage 1 orchestrator: `scripts/librarian.sh`. Runs every Stage 1
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check in order, aggregates exit code, prints findings inline. Single
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entry point for users and (future) cron.
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- ✅ AGENTS.md mentions `scripts/librarian.sh` as the doc-lint entry
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point in "Notes For Future Agents" (commit `0b363b5`).
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- ✅ Stage 1, piece 3: `scripts/librarian_check_oversize.py`. Flags
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any non-archive markdown file over the 500-line soft cap declared
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in AGENTS.md. Caught one real finding on first run:
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`docs/performance.md` at 914 lines — split into sub-topics deferred
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as a separate task.
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- ✅ Stage 1, piece 4: `scripts/librarian_check_stale_plans.py`. Uses
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`git log -1 --format=%cs` per plan file; flags plans whose last
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commit is older than 60 days. Clean on first run (all four plans
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committed 2026-05-07).
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- ✅ Stage 1, piece 5: `scripts/librarian_check_memory_drift.py`.
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Validates that every MEMORY.md index line points to a real file
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with required frontmatter fields (`name`, `description`, `type` ∈
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{user, feedback, project, reference}) and that no memory file is
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orphaned from the index. Memory dir derived from repo root, so the
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script is portable. Clean on first run.
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## Stage 1 Status: Complete
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All deterministic checks land. Two remaining concepts intentionally
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moved out of Stage 1 because they require LLM judgment, not
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deterministic detection:
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- **Promotable archive entries** → Stage 2. "Durable conclusion"
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detection is judgment, not pattern matching.
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- **Duplicate prose** → Stage 2. Shingled-overlap heuristics produce
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too many false positives in this repo's mix of archive snapshots
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and derived research notes; LLM should decide whether two passages
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are the *same idea* vs the *same evidence*.
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## Stage 1 finding closed
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`docs/performance.md` 914-line oversize finding is resolved by
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routing the dated experiments and design analysis out of the file:
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- `docs/archive/deep-cfr-performance-experiments-2026-05-07.md` —
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`torch.compile`, AMP, GPU-forward profiling, Option B (4 sub-experiments).
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- `docs/research/batched-traversal-inference-decision.md` —
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durable A/B/C design rationale.
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- `docs/archive/post-a-optimization-calculus-2026-05-07.md` —
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forward-looking sequencing recorded pre-bench.
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- `docs/archive/option-a-bench-result-2026-05-07.md` —
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bench regression + structural-ceiling diagnosis.
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`docs/performance.md` trimmed to 345 lines and now points at the
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extracts via a "See Also" section. AGENTS.md soft-cap rule reworded
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to clarify it is a *routing trigger*, not a split mandate.
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## Stage 2 v1: promote dispatcher
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✅ `scripts/librarian_promote.py`. Takes a `docs/archive/*.md` path,
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stitches `scripts/librarian-prompt.md` (system prompt) onto the
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archive body with a "draft a research note" task instruction, then
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shells out to the LLM CLI selected by `LIBRARIAN_LLM`
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(claude / codex / gemini; default claude). Output is captured to
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`runs/tmp/librarian-promote-<timestamp>-draft.md` for human review;
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the script never writes into `docs/research/` itself. `--show-prompt`
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prints the assembled prompt for inspection without calling the LLM.
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`--accept` is an explicit per-invocation opt-in that copies the draft
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to the suggested target as part of the same command — still
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propose-only by design (the operator chooses acceptance knowingly,
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not auto-applied).
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Refuses to run if:
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- the path is not under `docs/archive/`,
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- the implied target `docs/research/<stem>.md` already exists, or
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- the file is missing.
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If the LLM judges the archive non-promotable, it is instructed to
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return a single line `SKIP: <reason>` instead of a draft.
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### First successful round-trip (2026-05-08)
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Smoke test against `docs/archive/option-a-bench-result-2026-05-07.md`
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with `LIBRARIAN_LLM=gemini` produced a draft that passed spot-check:
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`Last verified` header used today's date and the current commit
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(`8bbed31`); cited file paths and line numbers were verified as
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real (`traversal.pyx:473-475`, `inference_server.py:226-228`); code
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snippets matched current source; durable conclusion (sync-blocking
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policy boundary as the structural ceiling) preserved; ~60 lines of
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prose, no bullet soup. Accepted verbatim as
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`docs/research/option-a-bench-result.md`. The whole loop —
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oversize finding → extracted archive → LLM draft → human accept —
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closed without touching the LLM's output.
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## Stage 2 v2: survey mode
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✅ `scripts/librarian_survey.py`. Walks `docs/archive/*.md`, filters
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out entries that already have a research counterpart (exact stem
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match or tail match — research notes sometimes drop a domain
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prefix), and dispatches each remaining archive to the same prompt
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template as `librarian_promote.py`. Outputs land under
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`runs/tmp/librarian-survey-<timestamp>/`, one file per archive,
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classified into `<stem>.md` (draft), `<stem>.SKIP.txt` (LLM judged
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non-promotable), or `<stem>.ERROR.txt` (CLI failure).
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`--dry-run` lists candidates without calling the LLM. `--max N`
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caps the number of archives processed per run, useful for smoke
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tests or cost control.
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## Stage 2 remaining
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- MEMORY.md drift fixup mode (read drift report, propose one-line
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diffs). Currently no drift to act on, so deferred.
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- Duplicate-doc merge proposal mode.
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## Next Concrete Step
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Smoke-test `librarian_promote.py` against one real archive entry
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(`docs/archive/option-a-bench-result-2026-05-07.md` is a good
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candidate — durable architecture content). Run with the default
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claude backend, review the draft, and either accept it as
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`docs/research/option-a-bench-result.md` or note specific
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edit-distance from what we'd want. The result drives whether the
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prompt template needs tightening before adding survey mode.
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