align: 修正技能播种路径:codex-home/skills/ 才是用户技能目录
2026-10-30 主机实测(临时 codex-home,生产未动)纠正: 先播 .agents/skills/ 时 skills/list 只返回 5 个系统技能, 3 个自有技能一个没出现;改播 skills/ 后返回 8 个, 3 个自有技能以 scope=user 出现。系统技能本身就在 skills/.system/ 下。 - skill_seed DEST_SUBDIR 由 .agents/skills 改为 skills, 模块文档与 worker 注释同步修正。 - 测试期望路径同步改为 skills/。 - 对照表补实测结论与附带发现:Codex 自带系统技能 imagegen,图片生成在 Codex 本体里不是无技能。 验证:skill_seed + chatgpt skills + websearch worker 共 14 项全过。主机探针文件已全部清理,生产未动。
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@@ -4,16 +4,22 @@ Mirrors the websearch MCP seeding pattern in cloud/websearch.py,
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but for skills, not MCP config:
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- Source is cloud/skills/<name>/SKILL.md (the batch-1 skill pack).
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- Destination is <codex-home>/.agents/skills/<name>/SKILL.md.
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Why this path: Codex documents personal skills at
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$HOME/.agents/skills and project skills at .agents/skills
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(scanned from the working directory up to the repo root).
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A Docker tenant task must not pollute its task repo/worktree
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(seeding into the worktree would show up in the task diff),
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so the tenant codex-home -- the per-project persistent home
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that is mounted into the container at
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/var/lib/codex-app-server/codex-home -- is the personal-level
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analogue. This is the same channel websearch MCP seeding uses.
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- Destination is <codex-home>/skills/<name>/SKILL.md.
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Why this path: verified live on 2026-10-30 with the real
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Codex binary (host.py skills-list against a temp codex-home
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on the production host, production untouched). The first
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attempt -- <codex-home>/.agents/skills/ -- was NOT discovered
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(skills/list returned only the 5 system skills). Copying the
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same SKILL.md files to <codex-home>/skills/ made them appear
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as scope=user (5 system + 3 ours, count 8). System skills
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themselves live at <codex-home>/skills/.system/, which is
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the tell that this is the user-skills directory for a
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CODEX_HOME. A Docker tenant task must not pollute its task
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repo/worktree (seeding into the worktree would show up in
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the task diff), so the tenant codex-home -- the per-project
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persistent home that is mounted into the container at
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/var/lib/codex-app-server/codex-home -- is the right channel.
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This is the same channel websearch MCP seeding uses.
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- Idempotent and non-destructive by design:
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- a missing destination file is copied;
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- an identical destination file is left alone;
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@@ -24,16 +30,16 @@ but for skills, not MCP config:
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- No config.toml change, no key, no network: skills are plain
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instruction files, and the helper never writes secrets.
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Honest boundary (see docs/chatgpt-codex-alignment.md): the
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destination path follows the documented personal-skills pattern
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mapped onto the tenant home. Whether a given Codex build picks
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these skills up in a Docker tenant task still needs a live
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verification task (skills/list + an explicit $live-info call),
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the same kind of e2e probe websearch MCP got after its seeding
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PR. Until that probe passes, do not claim the skills are live
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in production tasks -- this helper only guarantees the files
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land in the tenant home, idempotently, without clobbering
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tenant edits.
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Honest boundary (see docs/chatgpt-codex-alignment.md): discovery
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itself is now live-verified (skills/list, scope=user, on a temp
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home with the real Codex binary). What is NOT yet verified is
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model invocation inside a real Docker tenant task (an explicit
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$live-info call that actually runs and returns a result, and
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whether the relay model honours it). Until a task-level probe
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passes, do not claim the skills are live in production tasks --
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this helper only guarantees the files land in the tenant home,
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idempotently, without clobbering tenant edits, and that
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skills/list sees them there.
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"""
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import os
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@@ -42,8 +48,9 @@ from pathlib import Path
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# cloud/skills/<name>/SKILL.md, next to this module.
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SKILLS_DIR = Path(__file__).resolve().parent / "skills"
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# Personal-level skills inside a codex-home.
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DEST_SUBDIR = Path(".agents") / "skills"
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# User-level skills inside a codex-home (live-verified 2026-10-30:
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# .agents/skills inside a codex-home is NOT discovered).
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DEST_SUBDIR = Path("skills")
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def skill_source_dir(skills_dir=None):
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