update-structure

A job-independent step that checks and cleans a resume's structure for applicant tracking systems (ATS), the software employers use to read and filter resumes.

In plain words
What is it for?
Use it to check resume sections, remove personal or placeholder text, and normalize dates and formatting before tailoring the resume to a job.
Why use it?
It removes common structural problems without changing the candidate's claims, so later resume steps start from a consistent base.

Skill for Claude CodeCodex

Part of the resume-intelligence plugin — 31 skills, 1 command, 1 hook shipped together

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 skills/dcassil/resume-kit/update-structure
Any agent
npx skills add dcassil/resume-kit --skill update-structure
Clone the repo
git clone --depth 1 https://github.com/dcassil/resume-kit

Made for: Claude Code, Codex.

Or install resume-intelligence, the plugin that ships this one along with the rest of its 31 skills, 1 command, 1 hook.

Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 965 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00097 $0.00965
Opus 5 $0.00048 $0.00483
Sonnet 5 $0.00019 $0.00193
Haiku 4.5 $0.00010 $0.00097

Measured 2d ago against content hash d2e218fbd39b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

update-structure 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 2d ago.

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.

plugins/resume-intelligence/skills/update-structure/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

update-structure — original → base (structural check + auto-safe fix)

Baselining step 1 of the original → base → structure → refine pipeline (RIT-I-0016). This skill gets the resume itself structurally ATS-clean before any job is involved. It drives the deterministic build-base capability, whose fix is auto-safe only and gated by claim-preservation (no employer/title/degree/ skill claim may be added, dropped, or altered).

Prerequisites

Run the shared Prerequisites gate../_shared/prerequisites.md.

  • Required input: an active original ResumeDocument JSON — the active_resume pointer in resume-kit/config.json.
  • Does NOT need a job. Baselining is job-independent.
  • If the resume JSON is missing (no active_resume, or a raw PDF/DOCX): STOP and run parse-resume first.

What it does

  1. Structural check. Run the deterministic resume-only structural check (reuse check-structure) and present the AtsStructureReport (section_completeness + recommendations).
  2. Auto-safe base fix. Run build-base (mode auto): it strips PII and placeholder text, normalizes dates/formatting, applies only deterministic, truth-preserving fixes, enforces the claim-preservation gate, writes resume-kit/resumes/<name>-base.json, and records the base pointer.
  3. Report applied vs deferred. Show which fixes were applied and which were deferred (judgment / needs-input items). Deferred items are NOT fixed here — they are carried into the refine walkthrough (update-refine).

How to invoke

CLI

resume-tool check-structure --resume <original.json> [--output {json,text,md}]
resume-tool build-base --root . --mode auto [--output {json,text,md}]

MCP tools: resume_check_ats_structure, resume_build_base.

Modes (auto only — engine delta)

build-base is auto-only by design (RIT-T-0115): the fixes are deterministic and truth-preserving, so there is no per-fix interactive approval at the base stage. Interactive, human-in-the-loop handling of the deferred judgment items happens in the next step, update-refine (the refine walkthrough). Do not claim this skill applies interactive base fixes; it applies the auto-safe set and defers the rest.

Read the full file on GitHub · 86 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. 2d ago First seen · 86 lines · 97 tokens per session scan A d2e218fbd39b

Subscribe to this mod's changes

update-structure is a skill published in the GitHub repository dcassil/resume-kit (0 stars, last pushed 22d ago), licensed Apache-2.0. It adds 97 tokens to every session and 965 once invoked, about $0.0005 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 2026-08-31.

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