agentleFS
NAVANEETHVVINODNAVANEETHVVINOD/agent-orchestrator/skills/decision-routing/SKILL.md

decision-routing

Skill0 starsChanged 42 days agoApache-2.0View on GitHub

Plan or evaluate bounded agent/tool routing with optional Jev/Laya-style decision models. Keep capability eligibility, permissions and release gates deterministic; validate scores and escalate uncertain or unavailable routes.

The file

We split this skill into the rules it gives an agent

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

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use deterministic routing for clear rules or a small known task.

    line 8
  2. Distinctive:

    Read decision-model contract before selecting a provider.

    line 14
  3. Distinctive:

    All candidates supplied by the provider must be included.

    line 29

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “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

Optional bounded decision routing

Use deterministic routing for clear rules or a small known task. A decision model is useful when repeated bounded classifications have enough volume and measured benefit. It proposes one of the eligible routes; the coordinator still owns interpretation, authorization, verification and next actions. No model or score can approve installs, data disclosure, permission changes, release readiness or an external write.

Read decision-model contract before selecting a provider. Research actual Jev/Laya publisher docs, exact versions/model artifacts, licenses and compatibility through an available capability researcher. Resolve local/cloud data and budget choices before adoption. This skill does not bundle weights, credentials or a running decision service. Do not simulate a successful API call from vendor examples.

Derive eligible routes from the current task and actual host capabilities. Evaluate typed outputs on held-out project examples, including ambiguous/unanswerable cases, large option sets, changed tools and adversarial content. Scores are model estimates; calibrate and choose escalation thresholds from measured error consequences.

The optional Rust orchestrator route-proposal CLI checks a caller-supplied allowlist, finite scores and explicitly supplied minimum score/margin. It recommends one declared route or escalation and never executes tools. Follow its decision-model contract; a recommendation verifies neither capability availability nor consent. All candidates supplied by the provider must be included. If scores are incomplete, badly calibrated or stale, escalate and use ordinary planning/verified rules.

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.