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BrandedTamarasu-glitchBrandedTamarasu-glitch/ForgeFlow/.agents/skills/forgeflow-research-divergence-eval/SKILL.md

forgeflow-research-divergence-eval

Skill1 starsChanged 45 days agoMITView on GitHub

Preview or summarize local baseline-versus-divergent Forgeflow research evaluations without running models or the network.

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    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:

    Run the built-in deterministic eight-task preview:

    line 8
  2. Distinctive:

    When the user supplies captured evidence, summarize it separately:

    line 14

≈ “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

Forgeflow Research Divergence Eval

Run the built-in deterministic eight-task preview:

node scripts/forgeflow/render-research-divergence-eval.js [--json]

When the user supplies captured evidence, summarize it separately:

node scripts/forgeflow/render-research-divergence-eval-results.js --evidence <repository-relative-json> --root "$(git rev-parse --show-toplevel)" [--json]

Both helpers are read-only. Do not write files, initialize Forgeflow state, record telemetry or memory, invoke agents or models, install dependencies, or call the network. Reject evidence paths outside the repository. If a helper is missing, report that Forgeflow needs repair/update instead of recreating its logic.

The preview proves only the task-pack shape. A results summary does not prove the runs occurred, scores were independently or human validated, divergence is generally superior, or results transfer beyond the eight tasks. Keep baseline and divergent evidence distinct. Bound quality, cost, latency, and reliability claims to the supplied sample and disclose scorer provenance, failures, and limitations. Identify unsupported conclusions explicitly.

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