kevinpatrickrobbins/codebase-audit/evidence-and-inference

Claude Code and agent skill by kevinpatrickrobbins/codebase-audit

Trust tier 2
  • community
LLM review pending
Source check pending

Checking that the SKILL.md file is still in the repository.

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-inference

SKILL.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:

markdown
**Evidence:** `src/auth/session.ts:42` sets `maxAge: 86400` — sessions expire after 24h.
**Inference:** the logout bug is probably unrelated to expiry — the timing in the report doesn't match.

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

ExcuseReality
"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

Popularity

7-day trend score
0

Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/kevinpatrickrobbins/codebase-audit/evidence-and-inference/badge)](https://verified-skill.com/skills/kevinpatrickrobbins/codebase-audit/evidence-and-inference)

Something wrong with this skill or its page? Tell us.