agentleFS
lulufoolulufoo/lulu-workflow/eval/SKILL.md

eval-library

Skill3 starsChanged 6 days agoMITView on GitHub

Shared Eval orchestration for lulu-workflow. Coordinates dimension probes and remediation.

The file

We split this skill into the rules it gives an agent

9 rules. About 0 are common, 3 are distinctive, and 6 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.

  • 6

    Very specific

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

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

    Run $EVAL_CONTROL begin-eval-round.

    line 31
  2. Distinctive:

    If the result reports abandonment, run Abandon Handler and stop.

    line 35
  3. Very specific:

    Do not run check-dimension for a skipped dimension.

    line 37
  4. Very specific:

    Run $EVAL_CONTROL begin-dimension --dim {dim} and pin the result.

    line 43
  5. Very specific:

    If the result reports skip: true, record skip_reason and return.

    line 44
  6. Very specific:

    Run $EVAL_CONTROL begin-dimension-remediation --dim {dim} and pin OPERATION_TOKEN from its dispatch_input.

    line 58
  7. Very specific:

    If the caller’s adapter-config / handoff policy_context.completion_mode is return_to_caller (e.g.

    line 74
  8. Distinctive:

    Stop. Do not dispatch remaining dimensions.

    line 83
  9. Distinctive:

    Leave the L in Evaluating.

    line 84

≈ “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

eval/SKILL.md

Coordinates dimension probes and remediation for one round. Done when a probe-only or full-remediation path returns its result.

Script Macros

MacroCommand
$EVAL_CONTROLpython3 "$SKILL_ROOT/eval/scripts/eval_entry.py" --adapter-config-file "$EVAL_ADAPTER_CONFIG" --cycle-id "$CYCLE_ID"

Pin $EVAL_ADAPTER_CONFIG and $CYCLE_ID before $EVAL_CONTROL.

Principles

  • Findings require citable evidence. If evidence cannot be located, escalate; do not guess.
  • A defective SoT is escalated, never silently repaired. A valid SoT that the artifact fails to reflect is remediated.
  • Any non-zero control result is Blocking: stop, report it, and wait for user direction.
  • Remediation processes one dimension at a time.

Begin Eval

  1. Run $EVAL_CONTROL begin-eval-round. Pin the result.
  2. For each returned dimension, run Single dimension (launch) and pin any probe handle.
  3. Await every pinned probe handle. Do not check a dimension before every handle completes.
  4. For each dimension that launched a probe, run $EVAL_CONTROL check-dimension --dim {dim}.
    • If the result reports abandonment, run Abandon Handler and stop.
    • On a non-zero result, apply Blocking and stop.
    • Do not run check-dimension for a skipped dimension.
  5. A probe-only caller runs $EVAL_CONTROL complete-probe-only and stops.
  6. A full-round caller continues to Remediation.

Single dimension (launch)

  1. Run $EVAL_CONTROL begin-dimension --dim {dim} and pin the result.
  2. If the result reports skip: true, record skip_reason and return. Do not pin an operation context, do not dispatch a probe runner, and do not later check this dimension.
  3. Pin the returned operation context.
  4. Dispatch dimension-probe-runner asynchronously with the pinned operation context and this instruction:

    Load dimension-probe-runner/SKILL.md and follow its instructions.
  5. Pin the returned handle and return immediately to Begin Eval.

Remediation

  1. Run $EVAL_CONTROL begin-remediation and pin the result.
  2. Unless the result skips remediation, process each returned dimension serially:
    1. Run $EVAL_CONTROL begin-dimension-remediation --dim {dim} and pin OPERATION_TOKEN from its dispatch_input.
    2. Dispatch remediation-runner synchronously with that pinned context and this instruction:

      Load remediation-runner/SKILL.md and follow its instructions.
    3. Run $EVAL_CONTROL check-dimension-remediation --dim {dim}.
    4. If the result reports abandonment, run Abandon Handler and stop.
  3. Each dimension submits one complete application. Partial issue coverage is Blocking.
  4. Run $EVAL_CONTROL remediation-complete.
  5. Continue to Completion.

Completion

  1. Present the remediation-complete result.
  2. If the caller’s adapter-config / handoff policy_context.completion_mode is return_to_caller (e.g. Compose Atomize Eval), stop here and return the remediation-complete payload to the caller. Do not present Accept L / Fix L / Re-evaluate / Deliver package.
  3. Otherwise ask the user to choose Accept L, Fix L, or Re-evaluate; then exit Eval and return that choice. The caller owns the L transition.

Abandon Handler

  1. Stop. Do not dispatch remaining dimensions.
  2. Leave the L in Evaluating. Report abandonment and wait for user direction.

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