ask-codex
Skill2 starsChanged 3 months agoMITView on GitHub
Sends one bounded implementation, investigation, or verification task to Codex without manually managing bridge threads.
10 other projects use a version of this.
Adopted by
Most recently taken up by
- maxatwork/skillstheir own version, first seen Nov 8, 2026
- finalize/skillstheir own version, first seen Nov 1, 2026
- madeordinary/serel-memorytheir own version, first seen Nov 1, 2026
- PolyArch/humanizetheir own version, first seen Oct 8, 2026
- BackToCimaCoppi/Praxistheir own version, first seen Sep 23, 2026
- Yumeno/add_codexclitheir own version, first seen Sep 19, 2026
Other versions10 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 10
- PolyArch/humanize★ 1.5ksame name
- Sateezg/codex-bridge★ 248same name
- bookSiYi1412/ask-codex★ 9same name
- s977043/river-review★ 7same name
- BackToCimaCoppi/Praxis★ 6same name
- yeaight7/agent-powerups★ 6same name
- madeordinary/serel-memory★ 1same name
- finalize/skills★ 0same name
- maxatwork/skills★ 0same name
- Yumeno/add_codexcli★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository2 other files it gives its agents.
The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 1 is distinctive, and 5 are very specific to this project.
0
Common
Most of the 7 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- could be automatic: a setting could enforce it
- Very specific: line 10
Use the ask_codex MCP tool for the user's request.
- Very specific: line 13
Keep the default worktree for implementation work.
- Very specific: line 14
If the result warns about uncommitted changes and the task depends on them, run again with includeUncommitted: true.
- Very specific: line 15
If the status is running_codex, tell the user Codex is still working and carry on.
- Very specific: line 16
If Codex returns waiting_for_fable, answer the question and continue with bridge_continue_codex using the returned run ID.
- Distinctive: line 18
Do not commit, push, merge, deploy, publish, send externally, alter credentials, delete data, or mutate production without explicit …
“Common” is measured: kept by at least 6 in 10 of the 7 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Ask Codex
Use the ask_codex MCP tool for the user's request.
- Pass the user's task in
requestwithout diluting its acceptance criteria. The project defaults to this session's project; passprojectPathonly for a different repository. - Keep the default worktree for implementation work. Use
useWorktree: falseonly when the user explicitly wants work in the current checkout. - If the result warns about uncommitted changes and the task depends on them, run again with
includeUncommitted: true. - If the status is
running_codex, tell the user Codex is still working and carry on. The result arrives in your mailbox frombridge; you can also callbridge_orchestration_waitwith the run ID. Never start a duplicate run. - If Codex returns
waiting_for_fable, answer the question and continue withbridge_continue_codexusing the returned run ID. - Report changed files and real verification evidence. Compare Codex's
filesChangedwith the bridge'sobservedChangesbefore calling the work done. - Do not commit, push, merge, deploy, publish, send externally, alter credentials, delete data, or mutate production without explicit approval.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

