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lockedin-render-resume-en

lockedin-render-resume-en is a skill for Claude Code from daypunk/LockedIn. It costs 90 tokens per session (842 once invoked), scanned A, original, MIT.

An English resume-writing and review guide with ten built-in professional personas and rules for concise, measurable achievement statements.

In plain words
What is it for?
Use it when creating or polishing an English technology or product-management resume for a specific role; it expects project, role, or achievement details to work from.
Why use it?
It helps turn experience into targeted resume bullets and checks them for metrics, active wording, structure, and excessive keyword use.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the lockedin plugin — 7 skills, 1 command shipped together

not rated 127repo 3mo ago A scan 90 tokens original MIT

Good fit Use it when creating or polishing an English technology or product-management resume for a specific role; it expects project, role, or achievement details to work from.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/daypunk/lockedin/lockedin-render-resume-en
View source ↗ daypunk/LockedIn
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.

Any agent
npx skills add daypunk/LockedIn --skill lockedin-render-resume-en
Clone the repo
git clone --depth 1 https://github.com/daypunk/LockedIn

Made for: Claude Code.

Or install lockedin, the plugin that ships this one along with the rest of its 7 skills, 1 command.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for lockedin-render-resume-en

README.md
[![agentmods](https://agentmods.dev/badge/skills/daypunk/lockedin/lockedin-render-resume-en/github.svg)](https://agentmods.dev/skills/daypunk/lockedin/lockedin-render-resume-en)
Your own site
<a href="https://agentmods.dev/skills/daypunk/lockedin/lockedin-render-resume-en"><img src="https://agentmods.dev/badge/skills/daypunk/lockedin/lockedin-render-resume-en/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for lockedin-render-resume-en

Your own site · 80×15
<a href="https://agentmods.dev/skills/daypunk/lockedin/lockedin-render-resume-en"><img src="https://agentmods.dev/badge/skills/daypunk/lockedin/lockedin-render-resume-en.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 90 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 842 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00090 $0.00842
Opus 5 $0.00045 $0.00421
Sonnet 5 $0.00018 $0.00168
Haiku 4.5 $0.00009 $0.00084

Measured 11d ago against content hash fd5455dc4fda, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

lockedin-render-resume-en 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 11d 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/lockedin/skills/lockedin-render-resume-en/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.

render-resume-en

Research-based calibration. Ships with full rubric, writer and reviewer prompts, and a banned-phrase regex list. Dimension definitions derived from cross-source consensus across 20+ US tech resume guides. See research-notes.md for citations.

Use this when

  • User asks for an English resume targeting a tech / PM persona.
  • User wants their existing resume "polished" against the rubric.

Do NOT use when

  • User wants a Korean cover letter → render-jaso.
  • The vault has no project / role / achievement nodes yet → seed first.

Required design constraints

  • Metric-first bullets — every bullet contains a number (%, x, $, count, or duration). Rubric enforces ≥80% metric density via regex.
  • XYZ or CAR per bullet — XYZ = "Accomplished X as measured by Y, by doing Z"; CAR = Challenge / Action / Result compressed to one bullet line. Active voice, quantified result. (STAR is the implicit story arc; XYZ/CAR is the bullet shape.)
  • Active voice — banned: "was responsible for", "helped to", "worked on", "was involved in".
  • No keyword stuffing — ATS-friendly via real verbs and metrics, not hidden keywords.
  • Target persona — 10 built-in personas under ./personas/ (us-tech-senior, us-tech-mid, pm-product, backend-senior, frontend-senior, mobile-senior, data-engineer-mid, ml-engineer-mid, designer-senior, marketing-mid). Each spec file contains tone guidance, action verb cluster, and persona-specific banned phrases.

Two-turn pattern

Same writer/reviewer split as render-jaso:

  1. Writer turn produces the resume markdown.
  2. Reviewer turn re-loads RUBRIC.md fresh, runs the metric-density regex, scores action-verb diversity, ATS keyword coverage, vagueness banlist. Emits JSON.

Final checklist

  • Metric-density regex passed (≥80% bullets contain a number).
  • Reviewer turn was a separate Claude context with fresh RUBRIC.md load.
  • Concrete ontology slugs quoted (project / role / achievement).
  • Active voice; no banned phrases.

Read the full file on GitHub · 86 lines

Files

What ships with it

15 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 11d ago First seen · 86 lines · 90 tokens per session scan A fd5455dc4fda

Subscribe to this mod's changes

lockedin-render-resume-en is a skill published in the GitHub repository daypunk/LockedIn (127 stars, last pushed 3mo ago), licensed MIT. It adds 90 tokens to every session and 842 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 2026-08-30.

Claude CodeWriting and docscareerclaude-code-plugincover-letterinterviewknowledge-graph
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