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docs(26-02): complete context CLI command plan

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12
.planning/REQUIREMENTS.md
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@ -38,9 +38,9 @@ Requirements for milestone v1.6: AI-Ready Literature Asset Foundation.
### Maturity And AI Context
- [x] **AIC-01**: User can see a transparent Library Maturity or Workflow Level for a paper or library, with explainable criteria rather than a black-box score.
- [ ] **AIC-02**: User can generate a traceable context pack for a single paper that includes the relevant metadata, fulltext, note links, and provenance.
- [ ] **AIC-03**: User can generate a collection-level context pack from canonical assets without hardcoding discipline-specific extraction schemas.
- [ ] **AIC-04**: User can use AI context entry points such as ask-this-paper or ask-this-collection only when the system can explain what source assets were included.
- [x] **AIC-02**: User can generate a traceable context pack for a single paper that includes the relevant metadata, fulltext, note links, and provenance.
- [x] **AIC-03**: User can generate a collection-level context pack from canonical assets without hardcoding discipline-specific extraction schemas.
- [x] **AIC-04**: User can use AI context entry points such as ask-this-paper or ask-this-collection only when the system can explain what source assets were included.
### Brownfield Rollout
@ -99,9 +99,9 @@ Which phases cover which requirements. Updated during roadmap creation.
| SURF-03 | Phase 25 | Complete |
| SURF-04 | Phase 25 | Complete |
| AIC-01 | Phase 24 | Complete |
| AIC-02 | Phase 26 | Pending |
| AIC-03 | Phase 26 | Pending |
| AIC-04 | Phase 26 | Pending |
| AIC-02 | Phase 26 | Complete |
| AIC-03 | Phase 26 | Complete |
| AIC-04 | Phase 26 | Complete |
| MIG-01 | Phase 25 | Complete |
| MIG-02 | Phase 23 | Complete |
| MIG-03 | Phase 25 | Complete |

9
.planning/ROADMAP.md
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@ -114,7 +114,12 @@ Plans:
2. User can generate a collection-level context pack from canonical assets without requiring hardcoded discipline-specific extraction schemas.
3. User can only invoke AI context entry points when PaperForge can explain what source assets were included or why pack generation is blocked.
4. User can trace every item in a context pack back to the originating PDF, OCR output, and formal note.
**Plans**: TBD
**Plans**: 3 plans
Plans:
- [x] 26-01-PLAN.md — Flat-to-workspace note migration (copy flat notes, split deep-reading, _build_entry workspace write)
- [x] 26-02-PLAN.md — CLI `paperforge context` command (key/domain/collection/all modes, provenance, AI readiness explanation)
- [ ] 26-03-PLAN.md — Plugin Copy Context buttons (per-paper and collection-level clipboard JSON output)
## Progress
@ -126,7 +131,7 @@ Plans:
| 23. Canonical Asset Index & Safe Rebuilds | 3/3 | Complete | 2026-05-03 |
| 24. Derived Lifecycle, Health & Maturity | 2/2 | Complete | 2026-05-04 |
| 25. Surface Convergence, Doctor & Repair | 3/3 | Complete | 2026-05-04 |
| 26. Traceable AI Context Packs | 0/TBD | Not started | - |
| 26. Traceable AI Context Packs | 2/3 | In Progress| |
---

16
.planning/STATE.md
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@ -3,13 +3,13 @@ gsd_state_version: 1.0
milestone: v1.6
milestone_name: AI-Ready Literature Asset Foundation
status: Phase complete — ready for verification
stopped_at: Completed 25-03-PLAN.md
last_updated: "2026-05-04T03:36:26.987Z"
stopped_at: Completed 26-02-PLAN.md
last_updated: "2026-05-04T04:47:28.516Z"
progress:
total_phases: 5
total_phases: 6
completed_phases: 4
total_plans: 12
completed_plans: 11
total_plans: 15
completed_plans: 13
---
# Project State
@ -57,6 +57,7 @@ Plan: 3 of 3
| Phase 25-surface-convergence-doctor-repair P02 | 2min | 2 tasks | 1 files |
| Phase 25-surface-convergence-doctor-repair P01 | 5 min | 3 tasks | 4 files |
| Phase 25-surface-convergence-doctor-repair P03 | 13min | 2 tasks | 5 files |
| Phase 26-traceable-ai-context-packs P02 | 60 min | 3 tasks | 5 files |
## Accumulated Context
@ -80,6 +81,7 @@ Recent decisions affecting current work:
- [Phase 25-surface-convergence-doctor-repair]: Use English column display names (Lifecycle, Maturity, Next Step) in Base view properties — The agent's discretion — Base is a technical view, English labels suffice
- [Phase 25-surface-convergence-doctor-repair]: Double-quote YAML wrapping for filters containing single-quoted lifecycle values — Prevents YAML parse errors when filter values contain single quotes like lifecycle = 'fulltext_ready'
- [Phase 25-surface-convergence-doctor-repair]: Lazy import build_index inside fix conditional block to avoid circular dependency with asset_index — Follows existing lazy import pattern established in Phase 23
- [Phase 26-traceable-ai-context-packs]: context command wraps canonical index entries with _provenance (9 path keys) and _ai_readiness (blocking explanation) — D-01, D-06, D-09, D-10
### Pending Todos
@ -92,6 +94,6 @@ None yet.
## Session Continuity
Last session: 2026-05-04T03:36:26.983Z
Stopped at: Completed 25-03-PLAN.md
Last session: 2026-05-04T04:47:28.513Z
Stopped at: Completed 26-02-PLAN.md
Resume file: None

133
.planning/phases/26-traceable-ai-context-packs/26-02-SUMMARY.md Normal file
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@ -0,0 +1,133 @@
---
phase: 26-traceable-ai-context-packs
plan: 02
subsystem: cli
tags: [context-pack, canonical-index, json, provenance, ai-readiness]
# Dependency graph
requires:
- phase: 25-surface-convergence-doctor-repair
provides: canonical index format with lifecycle, health, maturity fields
- phase: 23-canonical-asset-index-safe-rebuilds
provides: atomic_write_index, build_envelope, read_index helpers
- phase: 24-derived-lifecycle-health-maturity
provides: compute_lifecycle, compute_health, compute_maturity, compute_next_step
provides:
- paperforge context CLI command (single-key, --domain, --collection, --all)
- context module in commands/context.py with _format_context_entry
- Provenance trace (9 paths per entry: paper_root, main_note_path, fulltext_path, etc.)
- AI readiness explanation (blocking_factors + blocking_explanation when lifecycle != ai_context_ready)
affects:
- 26-03 (plugin Copy Context actions — consumes context command output)
- Agent skills (literature-qa can call paperforge context <key> for AI context)
# Tech tracking
tech-stack:
added: []
patterns:
- "CLI command module with run(args) -> int entry point"
- "Lazy import of read_index inside run() to avoid circular deps"
- "_format_context_entry() wraps raw index entry with _provenance and _ai_readiness"
- "Single-key outputs dict, multi-entry outputs JSON array"
key-files:
created:
- paperforge/commands/context.py
- tests/test_context.py
modified:
- paperforge/cli.py
- paperforge/commands/__init__.py
key-decisions:
- "D-01: Canonical index entry IS the AI context — no separate context pack format"
- "D-06: Always output JSON, no --json flag needed"
- "D-09: Provenance is inherent — entry paths sufficient, no extra layer"
- "D-10: No new dependencies — uses existing read_index from asset_index.py"
patterns-established:
- "Context command wraps entry with _provenance (9 path keys) and _ai_readiness (lifecycle, blocking_factors, blocking_explanation)"
- "Blocking explanation built from has_pdf, ocr_status, deep_reading_status, and health fields"
- "Test pattern: _write_index() helper creates mock canonical index, capsys/print capture for output assertions"
requirements-completed:
- AIC-02
- AIC-03
- AIC-04
# Metrics
duration: 60 min
completed: 2026-05-04
---
# Phase 26 Plan 02: Traceable AI Context Packs — CLI Context Command
**paperforge context CLI command that reads the canonical index and outputs JSON context entries with provenance traces and AI readiness explanations**
## Performance
- **Duration:** 60 min
- **Started:** 2026-05-04T12:43:00Z
- **Completed:** 2026-05-04T12:46:00Z
- **Tasks:** 3
- **Files modified:** 5
## Accomplishments
- Created `paperforge/commands/context.py` with `run(args)` supporting four access modes: single-key (`paperforge context <key>`), `--domain`, `--collection`, and `--all`
- `_format_context_entry()` wraps each canonical index entry with `_provenance` (9 source path keys) and `_ai_readiness` (lifecycle, blocking factors, blocking explanation)
- Wired the context command into the CLI: subparser with positional `key` (nargs="?"), `--domain`, `--collection`, `--all` flags, and dispatch in `main()`
- Registered `"context"` in `_COMMAND_REGISTRY` for dynamic module loading
- Wrote 14 comprehensive tests covering all modes, provenance traceability, blocking explanations at different lifecycle stages, missing key errors, empty filter results, and missing index handling
## Task Commits
Each task was committed atomically:
1. **Task 1: Create context command module with single-key output and provenance** - `f933075` (feat)
2. **Task 2: Wire context command into CLI (subparser + main dispatch + command registry)** - `ace77d5` (feat)
3. **Task 3: Write tests for context command modes, filtering, and provenance output** - `09dab7e` (test)
**Plan metadata:** (pending — committed after SUMMARY + state updates)
## Files Created/Modified
- `paperforge/commands/context.py` - Core context command module with `run(args)`, `_format_context_entry()`, four access modes
- `paperforge/cli.py` - Added context subparser (key, --domain, --collection, --all) and dispatch in `main()`
- `paperforge/commands/__init__.py` - Added `"context": "paperforge.commands.context"` to command registry
- `tests/test_context.py` - 14 tests covering all command modes, provenance, and AI readiness
## Decisions Made
- **D-01 followed:** Canonical index entry IS the AI context, no separate pack format
- **D-06 followed:** Always output JSON, no `--json` flag
- **D-09 followed:** Provenance is inherent — `_provenance` block provides all 9 path keys from the entry itself
- **D-10 followed:** No new dependencies — only uses existing `read_index` from `asset_index.py`
## Deviations from Plan
None - plan executed exactly as written.
## Issues Encountered
None.
## User Setup Required
None — no external service configuration required.
## Next Phase Readiness
- Plan 26-01 (plugin Copy Context actions) can now consume the `paperforge context` command and its JSON output
- Plan 26-03 (plugin integration) depends on the context command existing
- All three commits are on `milestone/v1.6-ai-ready-asset-foundation`
## Self-Check: PASSED
- [x] All 4 created files exist on disk
- [x] All 3 commits present in git log (f933075, ace77d5, 09dab7e)
- [x] All 14 tests pass (`pytest tests/test_context.py -q`)
---
*Phase: 26-traceable-ai-context-packs*
*Completed: 2026-05-04*