Agent skill
error_recognition_and_correction
Install this agent skill to your Project
npx add-skill https://github.com/colinalexander/buffet/tree/main/skills/error_recognition_and_correction
SKILL.md
SKILL: Error Recognition and Correction
Summary
Error Recognition and Correction is the skill of identifying when a judgment, assumption, or decision is wrong, and responding by updating beliefs and actions promptly and proportionately. It institutionalizes intellectual honesty and treats learning as a core risk-control mechanism.
This skill ensures the system adapts without ego or defensiveness.
Judgment Role
This skill functions as a self-correction mechanism.
It governs how the system responds to disconfirming evidence, preventing small mistakes from compounding into large losses and ensuring that learning occurs symmetrically for successes and failures.
Judgment Checkpoints
Checkpoint 1: Disconfirming Evidence Scan
Purpose:
Ensure that evidence contradicting prior judgments is actively sought and evaluated.
Key Questions:
- What evidence would prove this judgment wrong?
- Has such evidence emerged?
- Are signals being dismissed or rationalized?
Required Evidence / Inputs:
- Updated performance data
- New qualitative or structural information
Expected Outputs:
- Judgment Record documenting evidence assessment
Failure Modes Guarded Against:
- Confirmation bias
- Narrative entrenchment
Escalation Criteria:
- Disconfirming evidence is repeatedly ignored
Checkpoint 2: Error Attribution Analysis
Purpose:
Distinguish between bad outcomes due to error and those due to randomness.
Key Questions:
- Was the original reasoning flawed?
- Did assumptions fail, or did outcomes vary within expectations?
- Would the decision be repeated under similar conditions?
Required Evidence / Inputs:
- Original judgment records
- Outcome vs expectation comparison
Expected Outputs:
- Judgment Record identifying error sources
Failure Modes Guarded Against:
- Outcome bias
- Blaming randomness selectively
Escalation Criteria:
- Inability to articulate why an outcome occurred
Checkpoint 3: Corrective Action Discipline
Purpose:
Ensure that recognized errors lead to appropriate action.
Key Questions:
- What adjustment is warranted?
- Is the response proportional to the error?
- Does correction improve future decisions?
Required Evidence / Inputs:
- Proposed corrective actions
- Impact assessment
Expected Outputs:
- Judgment Record recommending adjustment, escalation, or exit
Failure Modes Guarded Against:
- Overcorrection
- Inertia after recognition
Escalation Criteria:
- Errors acknowledged without corrective action
Authority Boundaries
- Humans: Full authority; judgment-intensive.
- Models: Advisory only; may surface anomalies and inconsistencies.
- Prohibited: Models may not enforce corrections autonomously.
This skill may override prior decisions without stigma.
Time Horizon
- Primary horizon: Continuous
- Secondary horizon: Post-decision review cycles
Error recognition should occur promptly but calmly.
Interaction With Other Skills
Upstream (inputs from):
- all decision-making skills
Downstream (feeds into):
- capital_allocation_judgment
- permanent_capital_loss_avoidance
- narrative_resistance
Auditability & Records
- Errors and corrections recorded explicitly
- Rationales preserved for learning
- Periodic review of repeated errors
- Records retained permanently
Common Misuse Patterns
- Admitting errors verbally but not behaviorally
- Overreacting to short-term noise
- Treating learning as retrospective only
Versioning
- Skill version: 1.0
- Last reviewed: 2026-01-09
- Change notes: Initial canonical definition
Notes
The cost of being wrong is not the mistake itself, but the refusal to recognize and correct it.
Recommended Agent Skills
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patience_as_active_strategy
margin_of_safety_enforcement
capital_allocation_judgment
narrative_resistance
governance_and_trust_evaluation
owner_mindset_reasoning
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