doc-accuracy-analyzer
Skill11 starsChanged 49 days agoApache-2.0View on GitHub
Use before submitting a design doc for review, after major revisions to a design doc, or when a reviewer flags factual concerns. Extracts verifiable claims, investigates each against primary sources, classifies findings, and produces a structured accuracy report.
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The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 5 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
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
- Distinctive: line 14
Before submitting a design doc for review
- Distinctive: line 15
After major revisions to a design doc
- Distinctive: line 16
When a reviewer flags factual concerns
- Distinctive: line 40
Search the source. Do not accept the document's assertion as evidence.
- Distinctive: line 95
Never accept "it is well known that" as evidence
≈ “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.
Files
Doc Accuracy Analyzer
Systematically verify technical documents by extracting and investigating every verifiable claim.
When to Use
- Before submitting a design doc for review
- After major revisions to a design doc
- When a reviewer flags factual concerns
6-Step Workflow
Step 1: Extract Verifiable Claims
Scan the document and extract all verifiable claims by category:
- Data claims — metrics, counts, sizes, rates ("handles 10k RPS", "99.99% availability")
- Code claims — "already implemented", "requires only configuration", "built on top of X"
- Infrastructure claims — service features, regional availability, pricing, limits
- Approach claims — "this is the standard pattern", "AWS recommends", "best practice"
Be aggressive. "Already built" and "requires only configuration" are the highest-risk claim types.
Step 2: Investigate Each Claim
For each claim, identify the primary source that would confirm or deny it:
- AWS documentation for service features and limits
- Source code for implementation claims
- AWS pricing calculator for cost claims
- AWS regional service table for availability claims
Search the source. Do not accept the document's assertion as evidence.
Step 3: Classify Findings
For each claim, assign a classification and severity:
| Classification | Definition | Severity |
| Verified | Confirmed by primary source | — |
| Inaccurate | Contradicted by primary source | High |
| Overstated | True but exaggerated | Medium |
| Unverifiable | No primary source found | Medium |
| Missing Context | True but incomplete without qualifier | Low |
Step 4: Assess Approach Feasibility
For each architectural approach or integration:
- Trace the execution path end-to-end
- Identify any step that assumes a capability not confirmed in Step 2
- Flag any "it will work because it should work" reasoning
Step 5: Suggest Corrections
For each Inaccurate or Overstated finding, provide:
- The original text
- The corrected text
- The primary source citation
Step 6: Produce Report
## Doc Accuracy Report
### Summary
- Total claims: N
- Verified: N | Inaccurate: N | Overstated: N | Unverifiable: N | Missing Context: N
### High Severity Findings
[claim | classification | evidence | correction]
### Medium Severity Findings
[claim | classification | evidence | correction]
### Low Severity Findings
[claim | classification | evidence]Guidelines
- Never accept "it is well known that" as evidence
- Service limits change — always check current documentation
- "AWS supports X" requires a docs.aws.amazon.com citation
- Implementation claims require a file path or commit reference
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