Check whether findings make sense before trusting or reporting them by comparing to the nearest reference, asking what mechanism could explain them, and naming a falsifier. Use when the agent is interpreting results, summarizing progress, assessing regressions, or deciding whether an observation should change the plan.
التثبيت
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Check whether findings make sense before trusting or reporting them by comparing to the nearest reference, asking what mechanism could explain them, and naming a falsifier. Use when the agent is interpreting results, summarizing progress, assessing regressions, or deciding whether an observation should change the plan.
Sensemaking
Use It As A Default Habit
Compose this skill with domain skills instead of replacing them.
Use it whenever you are about to trust, summarize, or act on a finding.
Default question: does this result actually make sense, and if so, what should change because of it?
Use This Output Contract
When using this skill, structure the reasoning as:
Observation: what happened.
Expected: what you thought would happen instead.
Nearest reference: the baseline, sibling case, prior run, known-good path, or control.
Best explanation: the most plausible mechanism right now.
Falsifier: one observation that would seriously weaken that explanation.
Decision impact: what changes, or why nothing changes.
Baseline disposition: whether the nearest valid baseline remains active or
has been superseded, and by what evidence.
Falsification scope: the exact hypothesis or changed delta rejected, plus
the parent method or unchanged components that remain live.
Apply These Rules
Separate observation from interpretation.
Compare against the nearest useful reference, not an abstract ideal.
Say why the chosen reference is the right baseline or control; if no fair baseline exists, weaken the conclusion.
Prefer mechanistic explanations over labels such as "noisy", "unstable", or "weird".
When the mechanism is spatial, temporal, structural, or artifact-like, inspect or create the nearest useful visual comparison instead of relying on scalar metrics alone.
Ask whether the finding is strong enough to change the next action.
If the result does not change the decision, say so explicitly.
If the result contradicts the current story, update the story.
Preserve The Best Baseline
Keep the best valid baseline active until a prospectively defined successor
beats it on the same decision readouts.
Attribute a failure only to what changed relative to that baseline. Failure
of an additive rescue rejects the rescue or combination, not the retained
baseline.
Before pivoting, name the baseline, changed delta, result, exact hypothesis
falsified, hypotheses not falsified, and retained active path.
Scope stop rules narrowly. Do not retire a successful parent method because
a broader extension or challenger failed unless that parent was directly
retested and failed.
Sanity-Check Findings
Ask whether the effect size matches the claimed explanation.
Ask whether the result is consistent across the closest comparable cases.
Ask whether the evidence source is trustworthy enough for the claim being made.
Ask whether a different explanation fits the evidence as well or better.
Ask what would have to be true for this result to be misleading.
Avoid Weak Sensemaking
Do not report a metric or image difference without saying what it means.
Do not prefer a summary metric over a decisive overlay, curve, slice, diff image, or side-by-side view when the mechanism is easier to see than describe.
Do not narrate confidence beyond what the evidence supports.
Do not treat one surprising result as a new truth without comparison.
Do not stop at "better" or "worse"; say in what way and relative to what.
End With A Decision
If the finding is believable and consequential, state the changed plan.
If the finding is believable but not consequential, state that no plan change is warranted.
If the finding is not yet believable, state the next falsifier or sanity check.
References
Read references/checks.md for reusable prompts and compact response templates.