# Yutsukioka Un Job Application Helper Apex Cross Doc Consistency

> apex-cross-doc-consistency

- Skill: `tomevault-io/yutsukioka-un-job-application-helper-apex-cross-doc-consiste` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/yutsukioka-un-job-application-helper-apex-cross-doc-consiste`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/yutsukioka-un-job-application-helper-apex-cross-doc-consiste/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/yutsukioka-un-job-application-helper-apex-cross-doc-consiste

---


# apex-cross-doc-consistency

## Purpose

This skill compares generated application documents against each other
and against the source inputs to detect inconsistencies that could
undermine the candidate's credibility during screening. It produces a
structured consistency report with actionable flags.

Apply the expert lens, collaboration rules, guardrails, quality loop
protocol, and guiding principles defined in `apex-guardrails`.

It does not rewrite documents; it flags issues with specific locations and suggested fixes.

## Inputs

Required:

- At least two generated documents from Phase 8 (any combination of Option 1–6).

Optional:

- `USER_JOB_HISTORY_TEXT`: to verify that documents match the source
  data.
- `TERM_EXTRACTOR`: to check keyword usage consistency.
- `inputs/application_context.md`: for full cross-reference.

## Checks

1. **Job titles:** Verify that the same role is titled identically
   across all documents. Flag any discrepancies (e.g., "Programme
   Manager" in the CV vs. "Project Manager" in the Cover Letter).
2. **Dates and timelines:** Verify that employment dates, project
   durations, and chronological order are consistent across documents.
3. **Achievements and metrics:** Verify that quantified claims (e.g.,
   "USD 5M budget", "12 countries") match across documents and against
   source inputs. Flag any conflicting numbers.
4. **Keyword usage:** Verify that high-priority keywords (★★★ and
   above) appear consistently across documents. Flag any document that
   omits a critical keyword present in others.
5. **Narrative coherence:** Verify that the UVP, STAR stories, and key
   selling points referenced in the strategy report are reflected in
   the generated documents. Flag missing narrative threads.
6. **Employer and organization names:** Verify spelling and naming
   consistency across documents.
7. **Format compliance (only if strict-field outputs included):** If Option 1 or Option 4 outputs are included, flag bullets/line breaks/curly quotes that violate strict paste rules.

## Output format

Return a structured report:

```
## Cross-Document Consistency Report

### PASS items
- <list of checks that passed>

### FLAGS
- [FLAG-001] <Category>: <description of mismatch, with document names and locations>
- [FLAG-002] ...

### Summary
PASS / FAIL (with count of flags)
```

## Rules

- Do not edit or rewrite the documents; only report findings.
- Reference specific locations in each document when flagging issues.
- Distinguish between critical flags (factual mismatches) and minor
  flags (stylistic differences).
- If no inconsistencies are found, return a PASS report confirming
  the documents are consistent.

## Steps

1. Parse all provided documents and extract job titles, dates,
   metrics, keywords, and key claims.
2. Cross-reference each extracted element across all documents.
3. Cross-reference against source inputs if provided.
4. Compile flags for any mismatches.
5. Output the structured consistency report.

---
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<!-- tomevault:4.0:skill_md:2026-04-14 -->