update-shape

A deterministic step that reorganizes a resume into standard sections after its basic structural cleanup. It moves existing content only when the mapping is clear and traceable.

In plain words
What is it for?
Use it to create the structure version of a resume, preserve a record of where content went, and prepare it for later wording improvements.
Why use it?
It gives the resume a consistent shape without rewriting or deleting content, and leaves unclear section mappings for the user to decide.

Skill for Claude CodeCodex

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

Made for: Claude Code, Codex.

Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,210 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 $0.00081 $0.01210
Opus 5 $0.00041 $0.00605
Sonnet 5 $0.00016 $0.00242
Haiku 4.5 $0.00008 $0.00121

Measured yesterday against content hash d854e31e6c97, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

update-shape 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.

plugins/resume-intelligence/skills/update-shape/SKILL.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

update-shape — base → structure (canonical shape pass)

Baselining step 2 of the original → base → structure → refine pipeline (RIT-I-0019). This skill gets the resume into the canonical resume shape after the ATS structural base pass and before wording improvements. It drives the deterministic analyze-shape and build-structure capabilities.

This is a structure-only pass. It is deterministic and non-destructive: it moves already-present content into canonical sections when the engine can account for every token, and it records lineage only after the content-ledger and cross-section claim gates pass. It does not rewrite wording, does not trim for budget, and does not remove content to make the resume shorter. Ambiguous mappings are deferred for the user; never guess.

The no-custom projection happens by default in build-structure. Parse must always produce a faithful -original.json that retains customSections and their headings; this step auto-seeds full-resume evidence, omits custom sections from canonical output, and accounts for omitted custom content through the content ledger and claim gates. The old --omit-custom-sections option is a no-op compatibility alias.

Prerequisites

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

  • Required input: a base resume JSON — the base_resume pointer in resume-kit/config.json.
  • Fallback input: if base is absent but an original active_resume is present, the capability can analyze/build from the original; in the normal workflow, STOP and run update-structure first so base exists.
  • Does NOT need a job. Shape canonicalization is job-independent.
  • If the resume JSON is missing (no base_resume or active_resume, or a raw PDF/DOCX): STOP and run parse-resume, then update-structure.

What it does

  1. Shape analysis. Run the deterministic resume-only shape analyzer and show the ShapeReport (summary + findings). Use the active base JSON unless the caller explicitly supplies a different resume.
  2. Auto-safe canonicalization. Run build-structure: it idempotently seeds full-resume evidence, applies only the report-driven transforms the engine can account for, omits custom sections from canonical output, writes resume-kit/resumes/<name>-structure.json only when gates pass, and records the structure pointer plus structure_derived_from lineage.
  3. Surface deferred mappings. If findings are deferred or the build returns structure_path: null, show the exact source sections and proposed targets from the report. Ask the user for explicit mappings before retrying. Do not infer a target from nearby content, job keywords, or personal preference.
  4. Report applied vs deferred. Show applied, deferred, ledger_ok, claims_ok, and structure_path. If either gate fails, stop and report the failure; do not patch the JSON by hand.

Read the full file on GitHub · 112 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 · 112 lines · 81 tokens per session scan A d854e31e6c97

Subscribe to this mod's changes

update-shape is a skill published in the GitHub repository dcassil/resume-kit (0 stars, last pushed 21d ago), licensed Apache-2.0. It adds 81 tokens to every session and 1,210 once invoked, about $0.0004 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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