agentleFS
luisgui1757luisgui1757/sentinel/skills/council/SKILL.md

council

Skill0 starsChanged 10 days agoMITView on GitHub

Trigger this if the user says 'council' or 'arena'.

143 other projects use a version of this, 5 of them edited.

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Most recently taken up by

Used with

Projects with it also use agent-payment-x402, motion-advanced and 6 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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  • +1 more from Rojios

The file

We split this skill into the rules it gives an agent

11 rules. 0 are common, 10 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 128 edited versions we read keep these.

  • 10

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If the work ends in a pull request, put the results in the PR description.

    line 43
  2. Distinctive:

    Put this section before the model and harness line at the end:

    line 44
  3. Very specific:

    If a delegate gives no score, write no score.

    line 57
  4. Distinctive:

    If the PR is open, edit the description.

    line 58
  5. Distinctive:

    If there is no PR, put the same results in the final reply only.

    line 59
  6. Distinctive:

    If you agree with their recommendations, make the changes and request a fresh review after.

    line 61
  7. Distinctive:

    Do not let repeated reviews result in scope creep.

    line 67
  8. Distinctive:

    Use this mode when the user asks the council to design, plan or choose an approach, or says "arena".

    line 72
  9. Distinctive:

    Write the task and 3 to 6 criteria that a good plan meets.

    line 75
  10. Distinctive:

    Start one judge from a model family other than yours.

    line 79
  11. Distinctive:

    Read each plan in full and score it yourself.

    line 83

“Common” is measured: kept by at least 6 in 10 of the 128 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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Council

Bring in delegates to help with the user's request, usually for review or feedback. By default, use Claude Opus and GPT Sol, in their latest versions, one seat each, at high reasoning effort. Start a delegate for each seat, also for the model that you run on. If the user names members, use only those, one seat each. If the user asks for more seats than members, fill the extra seats with copies, in the order of the user's list. Report a named member that you cannot reach. If you can reach only one model family, report it. Do not substitute a model.

In T3 Code, use orchestrator_capabilities to resolve the models, then delegate_task to start one delegate per seat in parallel. Elsewhere, use the harness's subagent tools when they can run the model. Otherwise start each delegate as a background command with a CLI that runs the model. Set <effort> to high, unless the user names another effort:

CLIRead-only command
Claude Codeclaude -p --model <id> --effort <effort> --permission-mode plan (brief on stdin)
Codexcodex exec --sandbox read-only --model <id> -c model_reasoning_effort=<effort> - (brief on stdin)
Copilot CLIcopilot -p "<brief>" -s --model <id> --effort=<effort> --allow-tool 'read,shell(git diff:*),shell(git status:*),shell(git log:*),shell(git show:*)'
OpenCodeopencode run --agent plan --model <provider>/<id> --variant <effort> "<brief>"
Kiro CLIkiro-cli chat --no-interactive --agent <name> --effort <effort> "<brief>", with the model in the agent file

Copilot CLI and OpenCode can run models from several model families. Before you decide that a family is out of reach, check which of these CLIs are on the PATH.

Give each delegate the request and relevant context. For review or feedback, keep their work read-only. Collect their responses and summarize the useful findings, disagreements, and recommended next steps.

For a code review, ask each delegate for a score out of 10. Count each full review pass as one round. A fresh review after fixes starts a new round.

If the work ends in a pull request, put the results in the PR description. Put this section before the model and harness line at the end:

## Council review

Rounds: 2

| Delegate | Round 1 | Round 2 |
| --- | --- | --- |
| Claude Opus | 7/10 | 9/10 |
| GPT Sol | 8/10 | 10/10 |

If a delegate gives no score, write no score. Do not invent one. If the PR is open, edit the description. Do not post a comment for this. If there is no PR, put the same results in the final reply only.

If you agree with their recommendations, make the changes and request a fresh review after. Continue this process until all delegates are satisfied with the outcome, for at most 3 rounds. The user can set another limit in the request or in their instructions. When the limit ends, report the open findings and let the user decide.

Do not let repeated reviews result in scope creep. It is your job to fight to keep scope limited.

Design mode

Use this mode when the user asks the council to design, plan or choose an approach, or says "arena".

  1. Write the task and 3 to 6 criteria that a good plan meets. Give each delegate the task, not the criteria.
  2. Each delegate writes its own plan, read-only. Delegates do not see the other plans.
  3. Start one judge from a model family other than yours. Give it the criteria and the plans, with labels such as "Plan A" and no model names. It scores each plan against each criterion. If the user named the members and none of them is from another family, do not start a judge, and say so.
  4. Read each plan in full and score it yourself. If you and the judge pick different plans, read both reasons before you decide.
  5. Take the best plan as the base. Add the strong parts of the other plans to it, and give the source of each part.
  6. Show the criteria, the scores, the plan that you took as the base, the merged plan with the source of each part, and the parts that you rejected. Build it only when the user asks.

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