agentleFS
NafjanNafjan/summon/skills/deliberate/SKILL.md

deliberate

Skill4 starsChanged 49 days agoMITView on GitHub

Use for governed fixed-option decisions that require named seats, fixed quorum, hard attempt/deadline bounds, durable replay, or explicit human approval/cancel boundaries.

5 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use review.

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.
  • SentrySkill

    review

    Fixture review skill.

    Also in 3 projects that use this

  • Other versions5 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 5

    1. samuelfarkas/skills★ 4same name
    2. taipt1504/claudehut★ 2same name
    3. JosefGisis/skills★ 1same name
    4. warrenwhipple/decision-flow★ 1same name
    5. cekrauseee/harness★ 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

3 rules. 0 are common, 0 are distinctive, and 3 are very specific to this project.

  • 0

    Common

    Most of the 3 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 3

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Use /deliberate when a decision has explicit options and named seats and must be bounded by quorum, physical attempts, an absolute …

    line 15
  2. Very specific:

    Use /summon for ordinary dispatch, manifest/fan-out, and council work.

    line 17
  3. Very specific:

    Before invoking it, obtain—not infer—the question, 2–10 seat IDs, at least two option IDs, quorum, rounds, maximum physical attempts, …

    line 20

“Common” is measured: kept by at least 6 in 10 of the 3 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

Deliberate — governed decisions for Summon

/deliberate is the focused companion entry point for Summon's governed-decision workflow. It owns no scheduler, scripts, schemas, or duplicate policy. Read the canonical guide at ../summon/references/deliberation.md before constructing, inspecting, recovering, or resuming a run.

Use /deliberate when a decision has explicit options and named seats and must be bounded by quorum, physical attempts, an absolute deadline, and a durable journal. Use /summon for ordinary dispatch, manifest/fan-out, and council work. Council remains the right choice for cross-examination and a chairman's synthesis.

Before invoking it, obtain—not infer—the question, 2–10 seat IDs, at least two option IDs, quorum, rounds, maximum physical attempts, deadline, human-approval policy, private durable run directory, and each seat's authority/consent/worktree evidence. If any of those facts are missing, ask the user or choose another mode.

The CLI is the same dispatcher:

  ../summon/scripts/run_subagent.py deliberate --question "…" --seats A,B \
  --options X,Y --quorum all --rounds 1 --max-attempts 2 --deadline 30m \
  --run-dir <private-runs-root> --cwd <project>

The fresh provider path is limited to an explicit quorum, one round, one physical attempt per seat, and enforceable read-only subprocess seats with executable evidence. Unsupported configurations refuse before provider contact; the lane never silently retries, falls back, or changes mode. The example's two seats therefore use --max-attempts 2. These are runtime admission constraints, not proof of current provider availability or served-model identity.

deliberate resume and human approval remain integration_pending. status, replay, recover, cancel, and open are provider-inert. An unmatched physical start is uncertain_spend; --retry-indeterminate only acknowledges that uncertainty and does not activate the gated resume path or grant launch permission.

Download now (ZIP)

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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.