kevinpatrickrobbins/codebase-audit/evidence-and-inference
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Use when analyzing, auditing, reviewing, or explaining a codebase, system, or project state — whenever written claims could mix observed fact with interpretation.
Install
npx vskill@latest install kevinpatrickrobbins/codebase-audit/evidence-and-inferenceSKILL.md
Evidence and Inference
This skill defines mandatory standards for distinguishing evidence from inference when reasoning about a codebase, system state, or project intent.
This skill is authoritative and applies across all repositories and workflows where claims are made.
Scope
This skill applies whenever an agent:
- Describes what a system does or is intended to do
- Assesses completeness, correctness, or progress
- Performs audits, reviews, investigations, or analyses
- Explains behaviour, architecture, or system state
- Draws conclusions from code, configuration, or documentation
Core Rules
1. Evidence vs Inference Separation (MANDATORY)
All claims MUST be clearly categorized as one of:
Evidence
- Directly observable facts
- File paths, symbols, configs, schemas, outputs
- Explicit documentation statements
Inference
- Interpretation or implication derived from evidence
- Hypotheses about intent or future direction
- Reasoned conclusions not explicitly stated
Agents MUST label these categories explicitly when producing written analysis.
2. No Guessing
- Agents MUST NOT invent behaviour, intent, or system state.
- If evidence is insufficient:
- State uncertainty clearly
- Describe what additional evidence would be required
- “Likely”, “appears”, or “suggests” language MUST be tied to cited evidence.
3. Citation Standard
When presenting evidence, include at least one of:
- File path(s)
- Symbol or function names
- Route or endpoint identifiers
- Configuration keys
- Test or fixture references
- Logged output (where applicable)
Vague references such as “the code seems to…” are not acceptable.
4. Inference Discipline
Inference MUST:
- Be logically connected to stated evidence
- Avoid overstating certainty
- Be reversible if new evidence contradicts it
If multiple interpretations are plausible, list them explicitly.
Output Shape
Make the split structural — don't weave labels into prose. Per claim or per section:
For short answers, a single "Observed / My read" split is enough. The form matters less than the invariant: a reader can always tell which claims were seen and which were concluded.
When NOT to Apply
- Trivial factual lookups with no interpretive step ("what port does the dev server use?")
- Creative or generative work where nothing is asserted about an existing system
- Restating the user's own claims — attribute those instead ("per your description…")
Rationalizations
| Excuse | Reality | |
|---|---|---|
| "Labeling would clutter a quick answer" | One "Observed / My read" split costs a line. A wrong conclusion costs a debugging session. | |
| "It's obviously inference from context" | Readers skim. A week later, unlabeled inference reads as fact. | |
| "I'm confident, so it's basically evidence" | Confidence is not observation. If it wasn't seen in a file or output, it's inference. |
Enforcement
- If an agent cannot clearly separate evidence from inference, it MUST stop and revise.
- Violations invalidate the analysis output.
- User instructions and project docs take precedence; within agent-initiated analysis, these rules are not optional.
Intent
This skill exists to prevent:
- False confidence
- Narrative drift
- “Smart-sounding” but ungrounded conclusions
- Silent hallucination in analytical work
Accuracy and traceability take precedence over speed.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/evidence-and-inference/SKILL.md
Popularity
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