SuperAPI AI Directory

harness-reckoning

Agents & models

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Updated 10-15 21:40

About this skill

Harness Reckoning

Use this skill for a periodic, offline review of repeated friction without allowing the reviewer to modify rules, Tasks, Facts, or Decisions.

Run

The system preset starts paused because a new Harness may not have an agent runtime. Choose an agent and runtime instance, then enable it. Its mission invokes:

ha schedule reckon

The command reads the attached Harness projection and writes only stdout. The occurrence runtime's final output is the report artifact. A missing projection is an error, never a healthy empty report. Open candidate evidence with the relevant read commands, such as ha task show, ha runtime status, and ha fact show. Do not run commands that record or change entities.

Optional sources follow references/source-contract.md. Add their read command and evidence-merging instructions to the preset mission.

Adjudicate

Read the evidence link or identifier on every candidate. Apply the funnel in order:

  1. Fix the mechanism, configuration, or error message that created the friction.
  2. If no framework fix applies, propose removal of an obsolete rule.
  3. Only then consider a new rule; require a trigger and expiration date.
  4. A second occurrence of the same class is a structural problem, not permission for another local patch.

The report is advisory. A human decides whether to create a Task, retire a rule, or propose a Decision. Quiet output is a valid health attestation; never manufacture findings.

Boundaries

Occurrence claim ownership (nodeId plus claimFence) supplies multi-node mutual exclusion. Each result belongs to its occurrence; no shared report path is used. Edge nodes read their local projection, so the report identifies local evidence rather than pretending to be a fleet-wide canonical snapshot.

Make it yours

  • Edit the preset mission to change the questions, evidence depth, or report format.
  • Add a read-only external source and tell the mission how its evidence joins the built-in signals.
  • Select or replace the agent and runtime instance in the Schedule editor. The preset remains protected from deletion, but its cadence, timezone, mission, and target are yours to change.

External source examples

A software team may add a walls report or inspect an AGENTS.md retirement marker. Another team might read support escalations, operations handoffs, or a customer feedback export. These are site-specific inputs and are never part of the built-in signal set. A source must declare its read scope and return stable evidence identifiers.

The method uses offline replay, external evidence, a minimal proposed difference, and human adjudication. It deliberately avoids online self-editing and append-only memory growth. See references/method.md.