// HR & Recruiting

Evidence-Bound Resume Builder

Prepare a role-specific resume and matching cover-letter draft from your permitted career facts, with excluded claims and shared provenance.

Awaiting marketplace review

Not yet available to purchase. Submitted price shown below.

Find another skill $12 one-time

What problem does Evidence-Bound Resume Builder solve?

Prepare a role-specific resume and matching cover-letter draft from your permitted career facts, with excluded claims and shared provenance.

Use it to

For an applicant tailoring to a supplied role, prepare resume and cover-letter drafts from one permitted fact set so unsupported claims are excluded from both, with a shared provenance file.
Prepare your next application or practice session using your own approved facts.
Return to a saved packet without losing earlier work.

What it returns

application-provenance.csv
application-review.md
candidate-questions.md
claim-provenance.csv
cover-letter-draft.md
cover-letter-draft.txt
findings.csv
manifest.json
original-resume.txt
report.md
requirement-coverage.csv
resume-draft.md
resume-draft.txt
summary.json

A representative input and result

fixture-backed sample

input {
  "original_resume": "I built Python reporting tools for our weekly volunteer rota.\nI checked the rota against availability notes and documented the corrections for the coordinator.",
  "job_description": "Python reporting role",
  "sources": [
    {
      "id": "s1",
      "text": "I built Python reporting tools for our weekly volunteer rota.",
      "locator": "notes:line-2",
      "permitted": true
    },
    {
      "id": "s2",
      "text": "I checked the rota against availability notes and documented the corrections for the coordinator.",
      "locator": "volunteer-notes:4",
      "permitted": true
    }
  ],
  "claims": [
    {
      "id": "c1",
      "text": "I built Python reporting tools for our weekly volunteer rota.",
      "source_id": "s1",
      "requirement_ids": [
        "r1"
      ]
    },
    {
      "id": "c2",
      "text": "Increased revenue by 73%.",
      "source_id": "s1",
      "requirement_ids": [
        "r1"
      ]
    },
    {
      "id": "c3",
      "text": "I checked the rota against availability notes and documented the corrections for the coordinator.",
      "source_id": "s2",
      "requirement_ids": [
        "r1"
      ]
    }
  ],
  "requirements": [
    {
      "id": "r1",
      "text": "Python"
    },
    {
      "id": "r2",
      "text": "Budget leadership"
    }
  ],
  "application": {
    "role": "Reporting assistant",
    "company": "Example Community Centre",
    "job_locator": "supplied-job:1",
    "claim_ids": [
      "c1",
      "c2",
      "c3"
    ]
  }
}

result Dear hiring team,

I am applying for the Reporting assistant role at Example Community Centre.

I built Python reporting tools for our weekly volunteer rota.

I checked the rota against availability notes and documented the corrections for the coordinator.

Thank you for considering my application.

Access and approval boundaries

Read one local input JSON file.
Write a new local output directory; no network or external actions.

Known limitations

Extractive source-unit assembly; candidate and agent improve presentation without inventing facts.
No automatic career verification, ATS score, PDF resume designer or application submission.
Role/company and fact relevance are supplied, not independently authenticated.

Questions

What do I receive?

A downloadable skill with a local Python helper, input contract, synthetic fixtures, tests and sample reports.

What do I need to run it?

Python 3.10 or newer and your authorized normalized JSON records. The helper uses the standard library; Windows CLI execution was tested.

Does it connect to my HR software?

No. You supply a local export normalized to the documented schema. There is no ATS or HRIS integration.

Will it apply, contact employers or judge my suitability?

No. It helps you prepare your own materials or practice. It never sends or submits, infers sensitive traits or predicts job outcomes.

What does READY mean?

No encoded finding in the supplied scope. It does not prove source truth, comprehensive readiness, legal compliance or approval to act.

What are the main limits?

Extractive source-unit assembly; candidate and agent improve presentation without inventing facts.

Where does my data go?

The Python helper stays local. Your agent host may separately process prompts; use synthetic data unless the owner authorizes sensitive data processing.

Evidence-Bound Resume Builder keeps proof and approval boundaries visible.

The listing includes the tested package, realistic samples, declared permissions, and known limitations.

Submitted to Agensi for review. Not yet available to purchase. The displayed price is the submitted one-time price.