Resume-Builder AGENTS.md

Project instructions for a resume builder that creates tailored resumes, cover letters, job-fit reports, DOCX application packages, and tracker updates from job descriptions. DOCX is the editable Microsoft Word document format.

In plain words
What is it for?
Use it to prepare job applications from a job description, score the fit, create Word documents, and update the application tracker.
Why use it?
They keep applications truthful and readable while guiding the project’s checks for hiring-system compatibility and human-sounding writing.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/jananthan30/resume-builder/agents-md
Clone the repo
git clone --depth 1 https://github.com/jananthan30/Resume-Builder

Made for: Codex, OpenCode.

Per session 2,376 This file is loaded in full into every session.
When invoked 2,376 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.02376 $0.02376
Opus 5 $0.01188 $0.01188
Sonnet 5 $0.00475 $0.00475
Haiku 4.5 $0.00238 $0.00238

Measured yesterday against content hash 1f0e8efb8968, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Resume-Builder AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

AGENTS.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Resume Builder - Codex Context

Overview

Resume Builder creates tailored resumes, cover letters, job-fit reports, DOCX application packages, and tracker updates from job descriptions.

Core targets:

  • Authenticity: never invent experience, metrics, titles, dates, education, publications, certifications, or memberships
  • Human voice: brevity, burstiness, plain verbs — must pass human_voice_audit.py before DOCX
  • ATS score: 75-85% (keywords in Core Competencies first; never stuff bullets)
  • HR score: 70%+
  • Output: ATS/Workday-compatible DOCX files

Editorial priority (never invert): Authenticity → Human voice → HR impact → ATS match. 75% ATS with human prose beats 90% stuffed AI prose.

Codex Plugin Surface

Codex uses:

  • .codex-plugin/plugin.json for plugin metadata
  • .agents/plugins/marketplace.json for the local marketplace entry
  • skills/resume-team/ for the installed $resume-team workflow
  • .codex/agents/ for project-scoped custom role definitions
  • .codex.mcp.json for the Codex MCP scorer server

Installed Codex invocation:

  • $resume-team [job description]

The Markdown files in commands/ are the shared workflow source and Claude Code slash-command surface; they are not installed Codex /resume-builder:* commands. Resume Team execution requires Python 3.10+, config.json, the configured master resume, and the local deterministic audit helpers.

Native Four-Role Resume Team

  • Candidate fit is the mandatory first gate. Before any role/native-team invocation, output/application directory, resume development, DOCX, or tracker work, run candidate_fit_preflight.py against the exact JD and only the configured master_resume_path (never a previous tailored resume). Continue only with a canonical, digest-bound candidate-fit-policy-v3 report scoring at least 70, trustworthy extraction, zero hard knockouts, passed: true, and no codes. A lower score (including 60–69) or hard knockout is REJECTED:CANDIDATE_FIT; unavailable, malformed, stale, or mismatched analysis is FAILED:CANDIDATE_FIT_PREFLIGHT. Both fail closed with no bypass. ATS/HR baseline scores are advisory and cannot override candidate fit.
  • Candidate-fit policy v2 calibration: required-tool knockouts are grounded only in requirements/qualifications sections (a tool named in duties prose, e.g. "data mining in Empirica Signal," is never a knockout); doctorates named anywhere in requirement ladders are alternative degree routes (an MD satisfies "PharmD/PhD or equivalent" listings); hard knockouts degrade the score with an informative cap (1 → 55, 2 → 45, 3+ → 35) instead of flattening to 35.
  • Stretch-zone review layer: when the deterministic floor passes (trustworthy extraction, zero hard knockouts) but the score is below 70, the coordinator may run python candidate_fit_review.py --resume <master> --job-description <jd> --run-id <id> --case-id <id> --as-of-date <date> --json. It invokes two structurally distinct native reviewers (skeptical-recruiter and hiring-manager lenses), requires every claim to cite exact resume/JD lines, verifies each citation in code, and passes only when both reviewers return PROCEED with fully verified citations (candidate-fit-review/v1, REVIEW_CERTIFIED_PASS). Disagreement, malformed output, unverifiable citations, or reviewer unavailability fail closed. A review-certified pass authorizes coordinator-built manual packages only; the hardened native_resume_team.py runtime still requires the deterministic candidate-fit-policy-v3 pass (passed: true, score ≥ 70) and does not consume review reports.
  • Manual user override: the final call belongs to the user. After any gate rejection (deterministic or review), the user may record a deliberate override with python candidate_fit_override.py --resume <master> --job-description <jd> --run-id <id> --case-id <id> --as-of-date <date> --reason "<explicit reason>" [--review-report <path>] --output <path>. The override requires a rejected gate and an explicit reason, binds the exact gate/review reports and digests it overrules (candidate-fit-override/v1, decision PROCEED_MANUAL), and prints its warning. It authorizes only the coordinator-built manual package path — truthful master-sourced content, evidence/human-voice/integrity audits, non-authorized renderers, files labeled MANUAL_DRAFT.txt — and never the native runtime, authorization receipts, authorized DOCX/tracker wrappers, or any claim that candidate fit passed. Overriding a passing gate errors; a missing reason fails closed.
  • The root session is the sole coordinator. For an authorized draft, $resume-team must use python native_resume_team.py --host codex; do not replace it with manual prompt-spawn orchestration. The hardened runtime requires macOS or Linux and fails Windows preflight closed with POSIX_RUNTIME_REQUIRED. The project agents resume-researcher, resume-writer, resume-auditor, and resume-editor remain available for interactive inspection.
  • Run Researcher → Writer → Auditor in order. Call Editor only after FAIL, then run a fresh Auditor. Maximum two corrections.
  • Role agents return proposals only. They never write files, spawn roles, publish, update the tracker, clean up, or authorize their own output.
  • Give each role only the scoped payload defined in commands/resume-team.md; validate every handoff digest, parent, attempt, run/case ID, and globally unique per-invocation agent identity, including re-audits and retries.
  • Manual Codex sandbox_mode = "read-only" prevents role writes but does not isolate filesystem reads. The production CLI runtime supplies the capability-isolated path by launching roles in empty temporary working directories with interactive tool surfaces disabled. Do not claim equivalent isolation for manual role use.
  • Researcher requirements are provenance-bound: hard_requirements followed by soft_requirements must equal the exact uniquely anchored jd_evidence_spans[*].evidence_text values one-for-one, byte-for-byte, and in order.
  • Draft-stage publication requires a durable run claim, trusted source attestation, a final Auditor PASS, three fresh independent evidence/human-voice/canonical-integrity votes on the same draft digest, an exact committed publication receipt, and verified readback.
  • Runtime PUBLISHED means only an authorized, digest-verified resume.md draft-stage artifact carried by resume-team-result/v2. It is not DOCX, tracker, cleanup, or package completion. /resume or /tailor-resume must finish all command-specific finalization gates before reporting package success.
  • A PUBLISHED result is not consumable until its candidate_fit_report and candidate_fit_report_digest exactly match the independently validated passing preflight; the coordinator resolves authorization_receipt_path against the output directory when relative, requires its resolved parent to equal that directory, reads regular non-symlink resume-team-final-receipt/v2 JSON, validates schemas/resume-team-final-receipt.schema.json, recomputes its canonical digest, matches the inline receipt and result run/case IDs, and binds the same passing candidate-fit report/digest plus draft_digest and verified_target_digest to the configured master, exact JD, final_draft_digest, and actual resume.md. Recompute source_digest from the current configured master and job_description_digest from the fixed sibling job_description.txt; require a SHA-256 Researcher artifact and distinct same-host native Researcher/Auditor identities. Require a same-draft PASS auditor_attestation; require the full authorization_report to pass with no codes and exactly three ordered named same-draft PASS votes with distinct IDs; require canonical_digest(authorization_report) == authorization_digest and the receipt vote-ID list to equal those IDs in order. Revalidate immediately before DOCX and preserve the JD and durable receipt during cleanup.
  • The hardened Codex runtime ignores user configuration and transient parent-session settings. Do not claim an inherited profile, model, or Ultra mode. Omit pins by default; use --model <exact-model> and/or --reasoning-effort ultra only when explicitly requested. No runtime profile option exists, and Codex-only pins must not be passed to Claude.
  • The coordinator alone performs ordered finalization: verified resume DOCX → verified cover-letter DOCX → tracker update → artifact/state verification → cleanup → report. It must retain the captured runtime result, invoke final_receipt_verifier.py with that result's exact sidecar path and digest immediately before every side-effect boundary, and use only create_resume_from_md_authorized, create_cover_letter_from_md_authorized, and add_application_authorized. Advance state only after verified regular non-empty DOCX output or a tracker return value that is literally True; exceptions and false results stop finalization.
  • Any malformed, stale, replayed, ambiguous, timed-out, unavailable, side-effecting, or partially published result fails closed.

Read the full file on GitHub · 107 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 107 lines · 2,376 tokens per session scan A 1f0e8efb8968

Subscribe to this mod's changes

Resume-Builder AGENTS.md is an instructions file published in the GitHub repository jananthan30/Resume-Builder (76 stars, last pushed 17d ago), licensed MIT. It adds 2,376 tokens to every session, about $0.0119 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.