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.
npx skills add daypunk/LockedIn --skill lockedin-auditgit clone --depth 1 https://github.com/daypunk/LockedInWrote 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.
[](https://agentmods.dev/skills/daypunk/lockedin/lockedin-audit)<a href="https://agentmods.dev/skills/daypunk/lockedin/lockedin-audit"><img src="https://agentmods.dev/badge/skills/daypunk/lockedin/lockedin-audit/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.
<a href="https://agentmods.dev/skills/daypunk/lockedin/lockedin-audit"><img src="https://agentmods.dev/badge/skills/daypunk/lockedin/lockedin-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00076 | $0.01721 |
| Opus 5.5 | $0.00030 | $0.00688 |
| Sonnet 5.5 | $0.00015 | $0.00344 |
| Haiku 4.5 | $0.00008 | $0.00172 |
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 1mo 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.
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:
- Calls
lockedin ingest <path> --dry-runvia Bash to extract text without mutating the vault. - Detects document type (English resume vs. Korean cover letter (jaso)) from content and file name.
- Routes to the correct rubric (see RUBRIC.md) and runs the selected mode (default: Score only for drive-by).
- 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:
- Detect document type (English resume or Korean cover letter (jaso)).
- Load the appropriate rubric via RUBRIC.md routing.
- Writer turn (
prompt-scorer.md): reads the source, quotes specific lines as evidence, produces a draft score narrative. - Reviewer turn (
prompt-reviewer.md): runs in a SEPARATE Claude context, re-loads RUBRIC.md fresh, emits a JSON score. - Merge writer narrative and reviewer JSON into the final markdown report (see Output format).
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.
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.
- 1mo ago First seen · 205 lines · 76 tokens per session scan A 0b2a05bd297c
lockedin-audit is a skill published in the GitHub repository daypunk/LockedIn (127 stars, last pushed 5mo ago), licensed MIT. It adds 76 tokens to every session and 1,721 once invoked, about $0.0003 per session on Opus 5.5. 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.
Other skills, from other repositories
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writing-coach
Human-voice writing coach that rewrites resumes and cover letters for brevity, burstiness, plain language, and authentic impact, and blocks AI-sounding prose. Use when the user wants to improve writing quality, fix robotic or generic AI-sounding text, cut fluff, strengthen bullets and summaries, or pass the…
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Search live job boards for roles that match the master resume, then score and rank them by ATS and HR fit. Use when the user wants to discover or find jobs, search openings by title or location, wants remote roles, or asks which live listings best match their background. Uses the discoverjobs MCP tool and never…
cover-letter
Create a compelling one-page, human-voice cover letter for a job description and generate the final DOCX. Use when the user wants a cover letter only (no resume), pastes a JD and asks for a letter, or needs a letter to accompany an already-tailored resume. Runs the mandatory humanvoiceaudit before producing the DOCX.
job-fit
Run the deterministic, digest-bound candidate-fit gate that scores the configured master resume against an exact job description before any resume tailoring. Use when the user wants a GO/NO-GO fit check on a JD, asks "should I apply", or before starting resume work, to confirm score >= 70 with zero hard knockouts.…
setup
One-time setup for Resume Builder — Python dependencies, config.json, cloud or local scoring, and optional LLM features. Use once right after installing, or when the user reports missing dependencies, a missing or incomplete config, wants to switch between cloud and local scoring, or wants to enable AI-augmented…