agentleFS
sainteyesainteye/clawdline/skills/evidence-debugging/SKILL.md

evidence-debugging

Skill2 starsChanged 24 days agoMITView on GitHub

Use when investigating a non-trivial bug, repeated failure, dropped event, stalled operation, or unexpected behavior in the current project. Skip routine copy, styling, and already-understood mechanical edits.

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:

    Follow the value or operation through its callers and component boundaries.

    line 11
  2. Distinctive:

    Keep invocation and verification evidence in the normal Session history.

    line 16

≈ “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

Evidence-led debugging

Find the failing boundary before choosing a fix. Apply the current task and repository rules, including the existing targeted check gate and shared-tree ownership. This skill grants no permission to install, dispatch, deploy, spend, or restart anything.

  1. Record the trigger, expected behavior, actual behavior, and exact revision or running version. Read the real error and nearby code. If reproduction is intermittent, preserve that uncertainty and gather evidence rather than naming a cause from one failure.
  2. Follow the value or operation through its callers and component boundaries. For sends and stalls, distinguish acceptance, execution, delivery, observation, and acknowledgement; inspect queue bounds, retries, receipts, resume and failure isolation. Inspect only task-relevant state and redact secrets from diagnostics.
  3. State a falsifiable hypothesis and the observation that would disprove it. Compare a working path or version when available; vary one cause at a time. Repeated unsuccessful patches are a reason to revisit the model of the system, not stack another timeout on it.
  4. Fix at the earliest responsible boundary with the smallest sufficient change. For behavioral fixes, prove a focused reproduction fails without the fix and succeeds with it, in an isolated tree. Use the repository's existing local gate; broader checks remain governed by project policy.
  5. Report the observed cause, correction, evidence and remaining uncertainty. Keep temporary mitigation distinct from a verified fix. Continue authorized work without adding approval checkpoints for routine implementation choices.

Keep invocation and verification evidence in the normal Session history. If the current project has an approved workflow pilot, follow its own checkpoint and evidence limits. Do not start separate model calls to evaluate the skill during ordinary work.

Adapted from obra/superpowers systematic-debugging at commit 2ce8aa15d05bd57213e6f746f953aafb7ded7a8b. Copyright (c) 2025 Jesse Vincent, MIT. Clawdline-specific workflow and permission boundaries are local adaptations.

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