0be354a920
Single-commit clean baseline after security scrub of niche-tells, project codenames, internal jargon, and contributor-email leaks. Contents: - 100 Rust crates (_primitives/_rust/) - 37 agent manifests (_manifests/) + generated specs (_generated/) - 67 user-invocable skills (skills/) - 33 hooks (hooks/) - Composition blocks (_blocks/) - Documentation (docs/, README.md) - TS adapter packages (_ts_packages/) - Assembler (_assembler/) - Roles (_roles/) - Templates (_templates/) - Forgejo CI (.forgejo/) Author: Denis Parfionovich <info@greendragon.info> License: see LICENSE.
131 lines
4.3 KiB
Markdown
131 lines
4.3 KiB
Markdown
# Phase 3 — Edge
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Gather the three `[edge]` fields (`directness`, `initiative`, `profanity`)
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plus the optional `[forbidden].topics` list. Click-driven for the enums,
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one short free-text for forbidden topics.
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## 3a — Edge batch (AskUserQuestion, 1 batch with 3 questions)
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Emit a single `AskUserQuestion` call:
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```json
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{
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"questions": [
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{
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"question": "How direct should the pet be?",
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"header": "Directness",
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"multiSelect": false,
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"options": [
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{"label": "Gentle", "description": "Soft-edge, wraps corrections in padding, never pushy"},
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{"label": "Balanced", "description": "Honest but kind, states disagreement politely"},
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{"label": "Direct", "description": "Minimal padding, tells you the thing"},
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{"label": "Blunt", "description": "No padding, named-flaw feedback, warrior mode"}
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]
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},
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{
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"question": "How proactive should the pet be?",
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"header": "Initiative",
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"multiSelect": false,
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"options": [
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{"label": "Wait", "description": "Only speaks when you ask"},
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{"label": "Nudge", "description": "Occasionally flags something that might matter"},
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{"label": "Proactive", "description": "Will surface patterns, issues, or ideas unprompted"}
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]
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},
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{
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"question": "Profanity policy?",
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"header": "Profanity",
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"multiSelect": false,
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"options": [
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{"label": "Never", "description": "Pet never uses profanity, regardless of your style"},
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{"label": "Rare", "description": "Occasional mild profanity when the moment fits"},
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{"label": "Contextual", "description": "Mirrors your own register — matches if you swear"}
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]
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}
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]
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}
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```
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## 3b — Map clicks to variables
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`DIRECTNESS` — lowercase the chosen label:
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| Label | Value |
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|------------|-------------|
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| Gentle | `gentle` |
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| Balanced | `balanced` |
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| Direct | `direct` |
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| Blunt | `blunt` |
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`INITIATIVE` — lowercase:
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| Label | Value |
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|-------------|--------------|
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| Wait | `wait` |
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| Nudge | `nudge` |
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| Proactive | `proactive` |
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`PROFANITY` — lowercase:
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| Label | Value |
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|--------------|----------------|
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| Never | `never` |
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| Rare | `rare` |
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| Contextual | `contextual` |
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## 3c — Forbidden topics (free text, optional)
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Emit a regular message (NOT AskUserQuestion):
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> Any topics the pet should refuse to engage on?
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> - comma-separated list
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> - examples: `medical-advice, legal-advice, stock-picks`
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> - leave blank and press enter to skip
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>
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> Reply on one line.
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Parse the reply:
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- trim whitespace
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- split on comma
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- trim each entry, drop empties
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- lowercase + kebab-case each entry (`Medical Advice` → `medical-advice`)
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- deduplicate while preserving order
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- cap at 20 entries (if more, keep first 20 and tell the user)
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Capture the result as `FORBIDDEN_TOPICS`. Empty reply → `[]` (schema-valid).
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## 3d — Consistency check (soft)
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If `DIRECTNESS == "blunt"` and `PROFANITY == "never"`, emit a regular
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message (informational, no re-ask):
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> Note: "blunt" directness with "never" profanity is valid — the pet will
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> use strong language-free bluntness. Continuing.
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No branch, no AskUserQuestion — this is just a heads-up so the user knows
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the combination is deliberate, not a bug.
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## Verify-criterion
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- `DIRECTNESS` is one of `gentle` / `balanced` / `direct` / `blunt`
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- `INITIATIVE` is one of `wait` / `nudge` / `proactive`
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- `PROFANITY` is one of `never` / `rare` / `contextual`
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- `FORBIDDEN_TOPICS` is a list (possibly empty) of kebab-case strings,
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length ≤ 20, no duplicates
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## Failure modes (constructive paths)
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If the user seems confused by the Directness scale (asks "what does blunt
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mean?"):
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- (A) give a one-line example for each level, then re-emit the batch
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- (B) default to `balanced` (the safest middle), confirm with user
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- (C) move on with their best guess and remind them they can re-run
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`/pet-init` any time
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If the forbidden-topics free text contains something that looks like a
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secret (matches the `secrets-guard` detector patterns — `sk-`, `ghp_`,
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etc.), STOP:
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- do NOT store the reply
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- emit: `That looked like a credential token, not a topic. Re-enter topics only — no API keys or passwords.`
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- re-ask once; if it repeats, skip forbidden-topics with `[]`
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