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 ViryaZheng/xmum-application-skills --skill xmum-application-cv-buildergit clone --depth 1 https://github.com/ViryaZheng/xmum-application-skillsWrote 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/viryazheng/xmum-application-skills/xmum-application-cv-builder)<a href="https://agentmods.dev/skills/viryazheng/xmum-application-skills/xmum-application-cv-builder"><img src="https://agentmods.dev/badge/skills/viryazheng/xmum-application-skills/xmum-application-cv-builder/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/viryazheng/xmum-application-skills/xmum-application-cv-builder"><img src="https://agentmods.dev/badge/skills/viryazheng/xmum-application-skills/xmum-application-cv-builder.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 | $0.00069 | $0.01635 |
| Opus 5.5 | $0.00028 | $0.00654 |
| Sonnet 5.5 | $0.00014 | $0.00327 |
| Haiku 4.5 | $0.00007 | $0.00163 |
Grade A, and why
xmum-application-cv-builder 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
XMUM Application CV Builder
Purpose
Use this skill to create or improve a general English CV or resume for applications. The default is a clean international CV/resume suitable for graduate school, research programs, internships, jobs, scholarships, and application-adjacent opportunities unless the target institution or employer gives different instructions.
This skill borrows the useful logic of resume/CV workflows: section strategy, target tailoring, action-verb bullets, truthful quantification, and simple readable formatting. It is not a decorative resume designer.
Shared Application Workspace
Before substantial CV work, check the current workspace for:
application-profile.mdapplication-tracker.mdAGENTS.md
If present, read the profile and tracker first. Treat them as the source of truth, then apply the latest user correction from the current conversation. If the CV work changes a stable fact, propose an update for application-profile.md. If it changes target status, material status, missing evidence, or next actions, update or propose an update for application-tracker.md.
Default Rules
- No photo by default.
- No pronouns or first-person phrasing such as
I,my,we, orour. - No date of birth, age, gender, marital status, religion, race, passport number, national ID, full home address, or irrelevant personal information.
- No skill bars, charts, headshot, icons, emoji, text boxes, multi-column layouts, heavy colors, or decorative graphics.
- Use a plain text-first document that survives PDF/DOCX parsing.
- Use action verbs and evidence. Avoid weak phrases such as
responsible for,helped with,worked on, orparticipated inunless followed by a concrete contribution. - Quantify truthfully: result metrics, dataset size, users, time saved, accuracy, F1/AUC, latency, team size, report length, number of experiments, code modules, tickets, samples, or courses. If exact results are unknown, quantify inputs or scope instead of inventing outputs.
- Keep technical claims interview-defensible. Do not add tools, methods, publications, awards, or leadership roles the applicant cannot explain.
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 · 152 lines · 69 tokens per session scan A bf1daa761897
xmum-application-cv-builder is a skill published in the GitHub repository ViryaZheng/xmum-application-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 69 tokens to every session and 1,635 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 2026-08-31.
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