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DonchitosandClaude Opus 5.5
be8993bbc5
Fix release for 1.1.2: the 14 longest skills keep their later phases after a compaction, a question nobody answered is never taken as an answer, settings read the same from a subfolder, the commit check works for a project in a subfolder of a larger repository, every skill opens with a title, and the shipped allow rules no longer approve deleting a branch or writing files without asking. Details in CHANGELOG.md; upgrade steps in UPGRADING.md (v1.1.2 → v1.1.3). Refs #83 Refs #133 Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0185en4t76fPn7315q4c3nko
39 lines
1.7 KiB
Markdown
39 lines
1.7 KiB
Markdown
# /setup-engine — Section 6: Determine Knowledge Gap
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> Part of `/setup-engine`. `SKILL.md` names when to read this file; the settings it
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> resolved and the rules under its later headings still apply here.
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## 6. Determine Knowledge Gap
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Check whether the engine version is likely beyond the LLM's training data.
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**Known approximate coverage** — the same figures the shipped
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`docs/engine-reference/*/VERSION.md` files record:
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- LLM knowledge cutoff: **May 2025**
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- Godot: training data likely covers up to ~4.3
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- Unity: training data likely covers up to ~2022 LTS (2022.3)
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- Unreal: training data likely covers up to ~5.3
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> **This table goes stale silently, and a stale table fails in the dangerous
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> direction only if it is too *new*.** A cutoff left unchanged for a year after
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> it stopped being true over-classifies risk — safe, but every project then pays
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> for full reference docs it may not have needed.
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> The opposite error is the harmful one: a cutoff claimed *later* than the model's
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> actual one marks post-cutoff versions LOW RISK and suppresses the reference
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> docs that exist to stop invented APIs.
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>
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> **If the model running this skill states an earlier training cutoff than the
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> one above, do not trust the table.** Say so, and treat the engine version as
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> `HIGH RISK` regardless of the comparison — a cutoff the model does not have is
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> not a cutoff that was met.
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Compare the user's chosen version against these baselines:
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- **Within training data** → `LOW RISK` — reference docs optional but recommended
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- **Near the edge** → `MEDIUM RISK` — reference docs recommended
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- **Beyond training data** → `HIGH RISK` — reference docs required
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Inform the user which category they're in and why.
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---
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