epistemic standards for evaluation and analysis. load before reviewing code, debugging, reporting findings, or any task where claims must be defensible. enforces trace-or-delete, confidence labeling, falsification.
Scanned 2/12/2026
Install via CLI
openskills install bdsqqq/dots---
name: review
description: "epistemic standards for evaluation and analysis. load before reviewing code, debugging, reporting findings, or any task where claims must be defensible. enforces trace-or-delete, confidence labeling, falsification."
---
# review
epistemic standards for producing defensible findings.
## when to load
- evaluating code, docs, or designs
- debugging / root cause analysis
- codebase archaeology
- any task where you will report findings to others
## principles
1. **trace or delete** — every claim traces to code, logs, or data. if you can't show the evidence, delete the claim or label it a hunch.
- *prevents: pattern → fact leap* — "this looks like X" silently becomes "this IS X"
2. **facts, not assumptions** — "the code shows X" not "this is probably X". be specific: line numbers, exact conditions, concrete paths.
- *prevents: vague language hiding weak evidence* — hedging lets you avoid committing to what you actually know
3. **label confidence** — VERIFIED (traced), HUNCH (pattern recognition, not traced), QUESTION (needs input). never present hunches as findings.
- *prevents: false certainty* — unlabeled claims inherit unearned authority
4. **falsify, don't confirm** — design tests that would DISPROVE your hypothesis. ask: "what would make this NOT a bug?"
- *prevents: confirmation bias* — you naturally notice supporting evidence and ignore contradictions; tunnel vision locks you into your first theory
## quality criteria
when evaluating contributions, check:
1. **proven correctness** — have you seen it work? not "does the code look right" — have you actually run it?
2. **types tell the truth** — are you lying to the compiler? do abstractions match their names?
3. **naming is honest** — would someone reading this in six months be confused?
4. **edges tested** — what happens on the worst path, not just the happy path?
5. **self-consistent abstractions** — can you explain it start to finish, and each part in isolation?
slop indicators:
- missing tests
- contradictions in abstractions
- names that lie about what they contain
## applying to findings
before reporting an issue:
```
1. can i cite the exact code location? (line numbers, file paths)
2. did i trace the actual conditions, or pattern-match?
3. did i try to prove myself wrong?
4. what's my confidence: VERIFIED / HUNCH / QUESTION?
```
if any answer is weak, either investigate more or label appropriately.
## report format
```markdown
## finding: <title>
**confidence:** VERIFIED | HUNCH | QUESTION
**location:** file:line or range
**evidence:** what the code actually shows
**falsification attempted:** what would disprove this, did i check?
```
### counter-example (slop)
```markdown
## finding: possible race condition
**confidence:** VERIFIED
**location:** src/cache/invalidator.ts
**evidence:** the code looks like it might have a race condition because invalidate() calls multiple async functions
**falsification attempted:** none
```
problems: confidence says VERIFIED but evidence is "looks like" (pattern-match, not trace). no line numbers. no falsification. this is pattern→fact leap.
### example (correct)
```markdown
## finding: race condition in cache invalidation
**confidence:** VERIFIED
**location:** src/cache/invalidator.ts:47-52
**evidence:** `invalidate()` awaits `fetch()` but not `write()`. concurrent calls can read stale data between L47 fetch completing and L52 write persisting. reproduced by adding 50ms delay to write() and calling invalidate() twice in quick succession — second call returns stale value.
**falsification attempted:** checked if a mutex guards the block (none). checked if write() is synchronous (it's not — returns Promise). confirmed issue by adding delay and observing stale read.
```
No comments yet. Be the first to comment!