lockedin-audit

A resume and cover-letter checker that applies a defined scoring rubric. It can identify the document type and review an existing file without needing a stored personal profile.

In plain words
What is it for?
Use it to score or refine an English resume or Korean cover letter, either from a provided file or after documents have been added to a vault.
Why use it?
It shows where a document is weak and can suggest improvements without changing the source file or requiring a personal data vault.

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

Made for: Claude Code, Codex.

Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,721 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 $0.00076 $0.01721
Opus 5 $0.00038 $0.00860
Sonnet 5 $0.00015 $0.00344
Haiku 4.5 $0.00008 $0.00172

Measured yesterday against content hash 0b2a05bd297c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

lockedin-audit 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/lockedin/skills/lockedin-audit/SKILL.md · 205 lines

How it starts

The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.

lockedin-audit

Scores and refines existing resume or cover-letter documents against the same rubric used by render-resume-en and render-jaso. No vault is required for the drive-by path.

Entry points

A. Drive-by audit (no vault required)

User provides a file path. The skill:

  1. Calls lockedin ingest <path> --dry-run via Bash to extract text without mutating the vault.
  2. Detects document type (English resume vs. Korean cover letter (jaso)) from content and file name.
  3. Routes to the correct rubric (see RUBRIC.md) and runs the selected mode (default: Score only for drive-by).
  4. Returns a markdown report. No vault writes. No file writes.

B. Post-ingest audit (existing vault user)

Triggered when lockedin ingest has just completed and merged N new entities into the vault. The skill presents a 4-option menu:

Ingest complete. <N> new entities merged into vault.

What next?
  [1] Score only          — apply rubric to the source document as-is.
                            No vault changes.
  [2] Refine only          — diff-based refinement of merged entities
                            (normalize metrics, replace weak action verbs,
                            restructure highlights). Every change shown as
                            diff, user approves before vault write.
  [3] Refine then Score    — refinement followed by scoring of refined
                            output (DEFAULT RECOMMENDED — quantifies score
                            lift)
  [4] Skip

Three operating modes

Mode 1 — Score only

Applies the rubric to the source document and emits a clean markdown report. Steps:

  1. Detect document type (English resume or Korean cover letter (jaso)).
  2. Load the appropriate rubric via RUBRIC.md routing.
  3. Writer turn (prompt-scorer.md): reads the source, quotes specific lines as evidence, produces a draft score narrative.
  4. Reviewer turn (prompt-reviewer.md): runs in a SEPARATE Claude context, re-loads RUBRIC.md fresh, emits a JSON score.
  5. Merge writer narrative and reviewer JSON into the final markdown report (see Output format).

Read the full file on GitHub · 205 lines

Files

What ships with it

6 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. yesterday First seen · 205 lines · 76 tokens per session scan A 0b2a05bd297c

Subscribe to this mod's changes

lockedin-audit is a skill published in the GitHub repository daypunk/LockedIn (127 stars, last pushed 3mo ago), licensed MIT. It adds 76 tokens to every session and 1,721 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 2026-08-30.

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