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 jananthan30/Resume-Builder --skill setupgit clone --depth 1 https://github.com/jananthan30/Resume-BuilderWrote 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/jananthan30/resume-builder/setup)<a href="https://agentmods.dev/skills/jananthan30/resume-builder/setup"><img src="https://agentmods.dev/badge/skills/jananthan30/resume-builder/setup/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/jananthan30/resume-builder/setup"><img src="https://agentmods.dev/badge/skills/jananthan30/resume-builder/setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00071 | $0.01019 |
| Opus 5.5 | $0.00028 | $0.00408 |
| Sonnet 5.5 | $0.00014 | $0.00204 |
| Haiku 4.5 | $0.00007 | $0.00102 |
Grade A, and why
setup 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Resume Builder — One-Time Setup
Run this skill once after installing to get started.
Instructions
You are helping the user set up Resume Builder. Guide them through the steps below.
Step 1: Check Python
Run python --version (or python3 --version on Mac/Linux).
- If Python 3.10+ is installed, proceed to Step 2.
- If Python is NOT installed, tell the user:
The scoring engine requires Python 3.10 or later.
Download it from: https://www.python.org/downloads/
During installation:
- CHECK "Add Python to PATH" (Windows)
- Mac/Linux: Use your package manager (brew install python3)
After installing Python, run the setup skill again.
Stop here if Python is not installed.
Step 2: Choose Install Type
Ask the user which setup they prefer:
Option A: Quick Setup (Recommended for most users)
- Cloud-based scoring — no heavy downloads
- Installs only 2 small packages (~5 seconds)
- Scoring happens on our cloud server (5 free scores, then Pro $12/month for unlimited)
- Optional LLM-augmented scoring with your own Anthropic API key
Option B: Full Local Setup (For developers / offline use)
- Installs all scoring engines locally (~500MB, takes 2-3 minutes)
- Scoring runs on your machine — no cloud needed, no limits
- Requires more disk space and RAM
Step 3A: Quick Setup (Cloud)
pip install -r requirements-plugin.txt
If pip is not found, try pip3 or python -m pip. If needed, use the requirements-plugin.txt file from the installed plugin root.
This installs fastmcp (MCP protocol) and anthropic (for LLM features). All ATS/HR scoring goes through the cloud API automatically.
Step 3B: Full Local Setup
pip install -r requirements.txt
Use the requirements.txt file from the installed plugin root if needed. This takes 1-3 minutes (downloads sentence-transformers model ~80MB).
Then download NLTK data:
python -c "import nltk; nltk.download('wordnet'); nltk.download('punkt_tab')"
Step 4: Set Up Configuration
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 · 128 lines · 71 tokens per session scan A b6a950e04643
setup is a skill published in the GitHub repository jananthan30/Resume-Builder (91 stars, last pushed 2mo ago), licensed MIT. It adds 71 tokens to every session and 1,019 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.
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