3 Commits

  • Overlap executor skill reads with namespace discovery (#30225)
    ## Why
    
    Environment skill discovery needs two independent pieces of information:
    
    - plugin namespaces from `plugin.json` files; and
    - skill metadata from each `SKILL.md` file.
    
    Today these happen in sequence. Codex waits for every plugin namespace
    lookup to finish before it starts reading any skill files. On a remote
    executor, that creates an avoidable network-latency barrier.
    
    ```text
    before: walk -> namespace lookups -> skill reads -> build catalog
    after:  walk -> namespace lookups ─┐
                 -> skill reads ───────┴-> build catalog
    ```
    
    ## What changes
    
    - Read and parse skill files without waiting for plugin namespace
    discovery.
    - Resolve root and nested plugin namespaces concurrently.
    - Join both results only when constructing the final qualified skill
    names.
    - Keep the existing 64-skill concurrency bound, output ordering,
    warnings, metadata behavior, and namespace rules.
    
    ## Testing
    
    The regression test makes plugin manifest lookup wait until a `SKILL.md`
    read has started. The old serialized pipeline would time out; the new
    pipeline completes and still returns the correctly namespaced skill.
    
    `just test -p codex-core-skills` passes all 111 tests.
    
    ## Out of scope
    
    This does not add an exec-server endpoint, batch filesystem calls, or
    reduce the number of files transferred. A frontmatter-only read or
    server-side skill catalog can remain a separate follow-up if benchmarks
    show that transferred bytes are the next bottleneck.
  • Reuse walk inventory for environment skill metadata (#30145)
    ## Why
    
    Environment skill discovery already asks the executor to run one
    `fs/walk`. That response contains every regular file path found under
    the selected root, including any `agents/openai.yaml` files.
    
    Today Core keeps the discovered `SKILL.md` paths but discards the rest
    of that file inventory. It then sends one `fs/getMetadata` request per
    skill just to ask whether `agents/openai.yaml` exists. A root with 66
    skills and no metadata therefore pays for 66 unnecessary network round
    trips.
    
    ## What changes
    
    - Keep the `fs/walk` file and directory inventory for the duration of
    the scan.
    - Associate each discovered `SKILL.md` with metadata that is known
    present, known absent, or still requires a fallback probe.
    - Read a known `agents/openai.yaml` directly instead of statting it
    first.
    - Skip the metadata request entirely when a complete walk shows that the
    skill has no `agents` directory.
    - Read a known `SKILL.md` and `agents/openai.yaml` concurrently.
    - Keep parsing and validation in `core-skills`.
    
    The inventory is scan-local. This does not add another cache or change
    cache lifetime.
    
    ## Network impact
    
    For a complete scan of 66 valid skills with no `agents/openai.yaml`, and
    one root `.codex-plugin/plugin.json`:
    
    | Operation | Current | After this PR |
    | --- | ---: | ---: |
    | `fs/walk` | 1 | 1 |
    | Read `SKILL.md` | 66 | 66 |
    | Stat `agents/openai.yaml` | 66 | 0 |
    | Read `agents/openai.yaml` | 0 | 0 |
    | Stat plugin manifest | 1 | 1 |
    | Read plugin manifest | 1 | 1 |
    | **Total executor RPCs** | **135** | **69** |
    
    This removes exactly 66 request/response exchanges from the common cold
    scan. Warm scans remain at zero discovery RPCs because the thread-level
    executor catalog cache is unchanged.
    
    When metadata exists, each file still requires one read. This PR removes
    only the preceding existence check; it does not batch file contents into
    a new RPC.
    
    ## Correctness fallbacks
    
    Absence is trusted only when the walk is complete and the metadata
    directory was not present. Core keeps the existing `getMetadata`
    fallback when:
    
    - the walk was truncated;
    - the walk reported an error; or
    - an `agents` directory was observed but `openai.yaml` was not, which
    preserves support for file symlinks and traversal boundaries.
    
    ## Deliberate scope
    
    This PR changes only the environment skill loader and its existing
    filesystem-call regression coverage. It does not:
    
    - change `fs/walk` or any exec-server protocol;
    - add `readFiles` or a skills-list endpoint;
    - change thread caching;
    - change local skill discovery;
    - change exec-server request concurrency; or
    - optimize plugin-manifest lookup.
    
    The plugin-manifest stat is intentionally left in place, which is why
    this PR reaches 69 calls rather than the broader 68-call estimate. That
    lookup has separate alternate-path, ancestor, and symlink semantics and
    should not be mixed into this change.
  • Cache plugin namespace during executor skill discovery (#29831)
    ## Why
    
    Executor skill discovery runs before the remote skills catalog is
    available. For a remote environment, each `ExecutorFileSystem` operation
    becomes an exec-server RPC.
    
    Previously, every discovered `SKILL.md` independently resolved its
    plugin namespace by walking its ancestors and probing both supported
    manifest locations. In the common `plugin/skills/<skill>/SKILL.md`
    layout, that repeats 8 RPCs per skill even though every skill under the
    plugin root uses the same namespace. These lookups happen while skills
    are parsed, so their cost grows linearly with the skill count and adds
    directly to first-turn latency.
    
    A selected capability root can also contain standalone skills, multiple
    sibling plugins, nested plugins, or symlinked directories. The
    optimization therefore needs to retain the nearest-ancestor namespace
    for each skill rather than assuming the selected root represents exactly
    one plugin.
    
    ## What changed
    
    - record plugin-root candidates from directory entries already returned
    during skill discovery
    - prune candidates that are not ancestors of any discovered `SKILL.md`
    before reading manifests
    - resolve each relevant plugin root once, with one fallback lookup per
    canonical traversal root for symlinked directories
    - select the nearest cached plugin namespace for each discovered skill
    - avoid namespace lookup entirely when the root contains no skills
    
    No additional directory traversal is required. Namespace work now scales
    with the number of plugin roots that contain discovered skills, rather
    than the total number of skills or unrelated sibling plugins. Standalone
    and nested-plugin names keep their previous behavior.
    
    ## Benchmarks
    
    I used a temporary counting `ExecutorFileSystem` around the real local
    filesystem. Each filesystem operation was counted as one remote RPC and
    given 1 ms of injected latency. Each variant ran three times; times
    below are medians.
    
    ### One plugin with 100 skills
    
    | Operation | Before | After | Delta |
    | --- | ---: | ---: | ---: |
    | `get_metadata` | 1,002 | 303 | -699 |
    | `read_file` | 200 | 101 | -99 |
    | `read_directory` | 102 | 102 | 0 |
    | **Total filesystem RPCs** | **1,304** | **506** | **-798 (-61.2%)** |
    | **Median load time** | **2.890 s** | **0.997 s** | **2.90× faster** |
    
    The namespace-specific work drops from 800 RPCs to 2 in this layout.
    
    ### Multiple plugins under one selected root
    
    These runs compare the correct pre-optimization implementation with the
    final nearest-plugin-root cache. The total plugin skill count stays at
    100 while the number of plugin roots changes.
    
    | Layout | Before RPCs | After RPCs | Reduction | Before | After |
    Speedup |
    | --- | ---: | ---: | ---: | ---: | ---: | ---: |
    | 2 plugins × 50 skills | 1,312 | 530 | 59.6% | 1,819 ms | 711 ms |
    2.56× |
    | 10 plugins × 10 skills | 1,344 | 578 | 57.0% | 1,850 ms | 778 ms |
    2.38× |
    | 50 plugins × 2 skills | 1,504 | 818 | 45.6% | 2,094 ms | 1,086 ms |
    1.93× |
    | 10 plugins × 10 skills + 10 standalone skills | 1,596 | 630 | 60.5% |
    2,209 ms | 860 ms | 2.57× |
    
    The remaining cost grows with the number of relevant plugin manifests.
    Each relevant manifest is read once instead of once per skill, while
    sibling plugins with no discovered skills are not read. Absolute latency
    savings depend on the executor's real RPC latency.
    
    ## Tests
    
    - `just test -p codex-core-skills` (109 passed across the library and
    integration-test binaries)
    - one integration test covers standalone, outer-plugin, nested-plugin,
    and unused sibling-plugin layouts, and asserts the exact set of
    manifests read