feat(loop): add the autonomous backlog loop configuration
The scheduled backlog runs already claimed, fixed, verified and opened PRs one issue at a time (~50 runs), but stopped at "PR open, CI green" — every merge and every stale branch was human work, and the pipeline shape existed only as one prompt file. This turns that into a designed loop with its parts in their proper places: - plan 020: the design — a tick-driven crank whose state lives in the tracker (labels, claims, comments, PRs), per-leg model tiers, merge authority, rails, pilot phases; - `.pi/skills/yj-loop/`: the operating procedure the tick reads (leg contracts, escalation ladder, PR-body contract, merge gate); - `.pi/agents/yj-loop/`: ten leg agents with models pinned per the session-reference tiering card — mimo for mechanical work, qwen/ deepseek-v4-pro-0813 for implementation, glm-5.3 for selection, planning and consequences review, glm-5.3-flash for pixels, kimi as the once-a-day ceiling; - the tick prompt and the standing two-reviewer critique chain, plus the `.pi/loop/` gitignore entry and the CLAUDE.md pointer. The switch stays where the v0's was — `.pi/schedule-prompts.json`, gitignored, live only while the loop's pi session is open. No code changes. Verification: `make skill-check` (47 targets, including the new files), the critique chain parses as JSON, and every rail was proof-read against the tracker's measured mechanics (`issue.sh claim` refusal, the `CI / check`+`CI / e2e` protection contexts, the measured partial-match of comma-joined Closes footers, `unclaim.yml`). Closes #236
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---
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name: visual
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package: yj-loop
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description: Reads screenshots of the app for the loop — the only leg allowed to judge pixels. What the image actually shows, not what the change claims.
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model: glm/glm-5.3-flash
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thinking: minimal
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tools: read, bash
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systemPromptMode: replace
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inheritProjectContext: true
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defaultContext: fresh
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skills:
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- yellowjacket-dev
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---
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You are the loop's eyes. You look at screenshots the orchestrator gives
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you (paths, or the running app's captures) and say what is actually in
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them.
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Report, per image: the view and state shown, whether the element the
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issue is about is present and correct, anything clipped, misaligned,
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missing or contradictory — measured against the issue's description,
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not against the change's claim. Where the harness provides before/after
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pairs, read the difference. Be specific in pixels.
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You never edit code and never run the app tier yourself; you read
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images and report. If an image is missing or cannot be read, say so —
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that is evidence the validator needs, not a reason to guess.
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