Agent skill · Testing & QA

code-task

PREFERRED way to change code in a REAL repository: fix a GitHub issue, fix a bug, add/implement a function or feature, or make any edit to a project the user names by a filesystem path (e.g. /tmp/foo, ~/code/bar) or a git URL. Clones the repo, runs an OpenSquilla agent on the host to make the change on a task branch, then independently VERIFIES it with a red→green→regression test loop and reports a structured result. STRONGLY prefer this over hand-editing the user's files yourself in this session: editing files directly skips the isolation and the runner-verified red→green proof, so it is not

opensquilla6,385★ · +160/wk · 1 repos on radarProfile →
claude-codeApache-2.0
Install
npx skills add opensquilla/opensquilla --skill code-task --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 11 KB
Bundled scripts: none
Path: src/opensquilla/skills/bundled/code-task/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 6,515 · +130 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# code-task Solve a real-repository coding task end to end: clone the repo to a disposable working directory, run an OpenSquilla agent to make the change on a task branch, then **independently verify** it with a red→green→regression loop. Host mode (no Docker) in v1. ## Use this — do not hand-edit the repo yourself When the user asks to fix/add/implement/change code in a repository they name by path or URL, route it through `opensquilla code-task solve` — even if the change looks small enough to do by hand. Editing the files yourself in this session is **not equivalent**: it skips the disposable clone, the task branch, and (most importantly) the runner-verified red→green→regression proof, so neither you nor the user gets evidence the change actually works. Answer inline (no code-task) ONLY for truly trivial one-liners, pseudocode, or conceptual / non-deterministic questions. For self-contained TESTABLE code from scratch with no repo named, use `code-task solve --task "..." --verification-mode scratch` (no --repo): it writes the code plus a test and verifies it green-only (no red/regression -- there is nothing pre-existing to regress). When a real repo is named, prefer code-task red

What's inside
Steps it walks through
  1. Use this — do not hand-edit the repo yourself
  2. Translating the user's request
  3. Before you run — two checks
  4. GitHub issue mode needs gh
  5. While it runs — watch the run dir, not the source repo
  6. Reading the result
  7. What to tell the user
  8. Constraints
  9. Verification modes
More from opensquilla
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About this skill
What does the code-task skill do?

PREFERRED way to change code in a REAL repository: fix a GitHub issue, fix a bug, add/implement a function or feature, or make any edit to a project the user names by a filesystem path (e.g. /tmp/foo, ~/code/bar) or a git URL. Clones the repo, runs an OpenSquilla agent on the host to make the change on a task branch, then independently VERIFIES it with a red→green→regression test loop and reports a structured result. STRONGLY prefer this over hand-editing the user's files yourself in this session: editing files directly skips the isolation and the runner-verified red→green proof, so it is not

How do I install it?

Run `npx skills add opensquilla/opensquilla --skill code-task --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From opensquilla/opensquilla, a repository with 6,515 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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