quality-pass-20260427t180000

Metadata

Status	done
Assigned	`agent-1`
Agent identity	`eea940a6f6be13d60578dee27be1f4bade4fcaab05bbbe54b9c5ef4b2d05eae0`
Created	2026-04-28T01:47:29.392644989+00:00
Started	2026-04-28T01:48:18.877641085+00:00
Completed	2026-04-28T01:53:20.730012469+00:00
Tags	`eval-scheduled`
Eval score	0.81
└ blocking impact	0.90
└ completeness	0.85
└ coordination overhead	0.80
└ correctness	0.80
└ downstream usability	0.80
└ efficiency	0.85
└ intent fidelity	0.77
└ style adherence	0.75

Description

Quality Pass: Post-Triage Review

Review and optimize task metadata for the six tasks created as part of the "virtual review session" before they enter execution.

Tasks to review

update-tracking-docs
stocktake-poietic-pbc
independent-review-poietic
visual-language-study
engage-pr1-review
direction-synthesis-virtual

What to do

For EACH task listed above:

1. Classify task type

Read the task via wg show <task-id>. Classify as one of:

research — Investigation, analysis, surveying assets
implementation — New code, features
fix — Bug fixes, small mechanical updates
design — Architecture, planning, sketches
test — Test writing
docs — Documentation, written critique, synthesis
refactor — Restructuring without behavior change

Expected classifications (verify against task content):

update-tracking-docs → fix
stocktake-poietic-pbc → research
independent-review-poietic → docs (critical review writing)
visual-language-study → research / design
engage-pr1-review → docs (review writing) or research
direction-synthesis-virtual → docs (synthesis)

2. Assign agent identity

Run wg agency stats --by-task-type to see role performance by task type. Use the recommended role for the classified type. If "(insufficient data)", fall back to the overall Role Leaderboard.

For JSON: wg agency stats --by-task-type --json and read .task_type_breakdown.recommendations[].best_role.

Apply: wg assign <task-id> <agent-hash>

3. Select model tier

From the same stats output, check the Best Model by Task Type table.

Override heuristics when data is sparse:

Signal	Model
Simple mechanical (e.g. `update-tracking-docs`)	haiku
Standard research, docs, design	sonnet
High-stakes synthesis with strong-opinion output (e.g. `direction-synthesis-virtual`)	opus

Apply: wg edit <task-id> --model <tier>

4. Release for execution

wg publish <task-id> (the tasks are in draft/paused mode; wg publish releases them).

If wg publish does not exist, try wg resume <task-id>.

Validation

Every listed task has an agent assigned (verify via wg show)
Every listed task has a model set
Every listed task is released (status: open, not paused/draft)
update-tracking-docs is set to haiku (mechanical work)
direction-synthesis-virtual is set to opus (high-stakes synthesis)
Assignments justified by evaluation data, not arbitrary

## Quality Pass: Post-Triage Review

Review and optimize task metadata for the six tasks created as part of the "virtual review session" before they enter execution.

## Tasks to review
- update-tracking-docs
- stocktake-poietic-pbc
- independent-review-poietic
- visual-language-study
- engage-pr1-review
- direction-synthesis-virtual

## What to do

For EACH task listed above:

### 1. Classify task type
Read the task via `wg show <task-id>`. Classify as one of:
- **research** — Investigation, analysis, surveying assets
- **implementation** — New code, features
- **fix** — Bug fixes, small mechanical updates
- **design** — Architecture, planning, sketches
- **test** — Test writing
- **docs** — Documentation, written critique, synthesis
- **refactor** — Restructuring without behavior change

Expected classifications (verify against task content):
- `update-tracking-docs` → fix
- `stocktake-poietic-pbc` → research
- `independent-review-poietic` → docs (critical review writing)
- `visual-language-study` → research / design
- `engage-pr1-review` → docs (review writing) or research
- `direction-synthesis-virtual` → docs (synthesis)

### 2. Assign agent identity
Run `wg agency stats --by-task-type` to see role performance by task type. Use the recommended role for the classified type. If "(insufficient data)", fall back to the overall Role Leaderboard.

For JSON: `wg agency stats --by-task-type --json` and read `.task_type_breakdown.recommendations[].best_role`.

Apply: `wg assign <task-id> <agent-hash>`

### 3. Select model tier
From the same stats output, check the **Best Model by Task Type** table.

Override heuristics when data is sparse:
| Signal | Model |
|---|---|
| Simple mechanical (e.g. `update-tracking-docs`) | haiku |
| Standard research, docs, design | sonnet |
| High-stakes synthesis with strong-opinion output (e.g. `direction-synthesis-virtual`) | opus |

Apply: `wg edit <task-id> --model <tier>`

### 4. Release for execution
`wg publish <task-id>` (the tasks are in draft/paused mode; `wg publish` releases them).

If `wg publish` does not exist, try `wg resume <task-id>`.

## Validation
- [ ] Every listed task has an agent assigned (verify via `wg show`)
- [ ] Every listed task has a model set
- [ ] Every listed task is released (status: open, not paused/draft)
- [ ] `update-tracking-docs` is set to haiku (mechanical work)
- [ ] `direction-synthesis-virtual` is set to opus (high-stakes synthesis)
- [ ] Assignments justified by evaluation data, not arbitrary

Depends on

done .assign-quality-pass-20260427t180000

Required by

Log

2026-04-28T01:48:18.811338515+00:00 Lightweight assignment: agent=Default Assigner (eea940a6), exec_mode=full, context_scope=full, reason=Assigner role directly matches task assignment and agent configuration; full scope needed for wg commands that modify task state and release them.
2026-04-28T01:48:18.877644111+00:00 Spawned by coordinator --executor claude --model opus
2026-04-28T01:48:27.703703925+00:00 Starting quality pass: classify, assign agent, set model tier, release for 6 tasks
2026-04-28T01:53:14.826335759+00:00 Classifications and assignments (no eval data — heuristic-based): - update-tracking-docs: fix (mechanical doc update) -> Documenter (8da3b6fc) + claude:haiku - stocktake-poietic-pbc: research (inventory) -> Architect (878cbf95) + claude:sonnet - independent-review-poietic: docs (critical review) -> Reviewer (a02f7538) + claude:sonnet - visual-language-study: research/design -> Architect (878cbf95) + claude:sonnet - engage-pr1-review: docs (PR review) -> Reviewer (a02f7538) + claude:sonnet - direction-synthesis-virtual: docs (high-stakes synthesis) -> Documenter (8da3b6fc) + claude:opus
2026-04-28T01:53:14.842137022+00:00 Created 3 missing agent definitions: Documenter (8da3b6fc), Reviewer (a02f7538), Architect (878cbf95). All paired with Balanced tradeoff (a2a94d1c).
2026-04-28T01:53:14.847654782+00:00 All 6 tasks published with --only flag, status: open. Eval scaffold (.assign/.flip/.evaluate) created downstream of each. Re-applied agent assignments after publish (publish reset some assignments).
2026-04-28T01:53:14.852664317+00:00 Validated: all six tasks have agent, model, status=open. update-tracking-docs=claude:haiku (mechanical), direction-synthesis-virtual=claude:opus (high-stakes synthesis).
2026-04-28T01:53:20.730017308+00:00 Task pending eval (agent reported done; awaiting `.evaluate-*` to score)
2026-04-28T01:55:32.642939416+00:00 PendingEval → Done (evaluator passed; downstream unblocks)