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https://github.com/openai/codex.git
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jif
c100109280
## What changed - Add an opt-in `skill_search` feature that ranks prompt-visible skills against each turn's user input with a bounded weighted lexical selector. - Keep the ranked selection out of model-visible context and record metrics for selection cost, catalog reduction, and whether later implicit or `skills.read` invocations matched the ranked candidates. - Include host-provided skills in the experiment catalog without changing the rendered skill catalog. ## Testing - Add selector unit tests covering ranking, limits, truncation, stop words, and deterministic tie-breaking. - Add extension tests covering turn-local invocation recording and host-skill shadow selection. GitOrigin-RevId: 4d00a1c805ea8b391d6c6ac6a8450afa88ca3e25
37 lines
1.0 KiB
TOML
37 lines
1.0 KiB
TOML
[package]
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edition.workspace = true
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license.workspace = true
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name = "codex-skills-extension"
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version.workspace = true
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[lib]
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name = "codex_skills_extension"
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path = "src/lib.rs"
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doctest = false
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[lints]
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workspace = true
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[dependencies]
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codex-core-skills = { workspace = true }
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codex-exec-server = { workspace = true }
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codex-extension-api = { workspace = true }
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codex-mcp = { workspace = true }
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codex-otel = { workspace = true }
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codex-protocol = { workspace = true }
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codex-tools = { workspace = true }
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codex-utils-path-uri = { workspace = true }
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codex-utils-string = { workspace = true }
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schemars = { workspace = true }
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serde = { workspace = true, features = ["derive"] }
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serde_json = { workspace = true }
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tokio = { workspace = true, features = ["sync", "time"] }
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tracing = { workspace = true }
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url = { workspace = true }
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[dev-dependencies]
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codex-utils-absolute-path = { workspace = true }
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opentelemetry_sdk = { workspace = true }
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pretty_assertions = { workspace = true }
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tokio = { workspace = true, features = ["macros", "rt-multi-thread"] }
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