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upload-parse

upload-parse is a skill for Claude Code, Codex from ebenezer-isaac/llmconveyors-mcp. It costs 42 tokens per session (430 once invoked), scanned A, original, MIT.

A file and text parser that turns resumes and job descriptions into structured information such as employers, job titles, keywords and other fields.

In plain words
What is it for?
Use it to upload resumes, parse job-description files or text, and prepare structured data for tools such as applicant-tracking scores or job-search workflows.
Why use it?
It removes the need to extract those details manually before comparing candidates with job requirements.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 1repo 7mo ago A scan 42 tokens original MIT

Good fit Use it to upload resumes, parse job-description files or text, and prepare structured data for tools such as applicant-tracking scores or job-search workflows.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ebenezer-isaac/llmconveyors-mcp/upload-parse
View source ↗ ebenezer-isaac/llmconveyors-mcp llmconveyors.com
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 ebenezer-isaac/llmconveyors-mcp --skill upload-parse
Clone the repo
git clone --depth 1 https://github.com/ebenezer-isaac/llmconveyors-mcp

Made for: Claude Code, Codex.

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 upload-parse

README.md
[![agentmods](https://agentmods.dev/badge/skills/ebenezer-isaac/llmconveyors-mcp/upload-parse/github.svg)](https://agentmods.dev/skills/ebenezer-isaac/llmconveyors-mcp/upload-parse)
Your own site
<a href="https://agentmods.dev/skills/ebenezer-isaac/llmconveyors-mcp/upload-parse"><img src="https://agentmods.dev/badge/skills/ebenezer-isaac/llmconveyors-mcp/upload-parse/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 upload-parse

Your own site · 80×15
<a href="https://agentmods.dev/skills/ebenezer-isaac/llmconveyors-mcp/upload-parse"><img src="https://agentmods.dev/badge/skills/ebenezer-isaac/llmconveyors-mcp/upload-parse.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 430 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 $0.00042 $0.00430
Opus 5.5 $0.00017 $0.00172
Sonnet 5.5 $0.00008 $0.00086
Haiku 4.5 $0.00004 $0.00043

Measured 2mo ago against content hash 986601edae89, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

upload-parse 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 2mo 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.

skills/upload-parse/SKILL.md · 42 lines

What it actually says

Upload and Parse

Parse resumes and job descriptions into structured data for use with other tools.

When to use

  • User provides a resume file (PDF, DOCX, TXT) to upload
  • User pastes a job description or provides a job posting
  • User wants to extract structured data from a document before scoring or generating

Available tools

  • upload-resume - Upload and parse a resume file. Accepts base64-encoded content. Returns structured resume data.
  • upload-job-file - Upload and parse a job description file. Accepts base64-encoded content.
  • upload-job-text - Parse a job description from plain text. Returns company name, job title, keywords, and other structured fields.

Steps

Parse a job description from text

  1. Call upload-job-text with the text parameter containing the job description
  2. The response includes parsed fields: companyName, jobTitle, keywords, metadata
  3. Use these fields with other tools like ats-score or job-hunter-run

Upload a resume file

  1. The file must be base64-encoded. If working with a local file, read it and encode to base64.
  2. Call upload-resume with fileBase64 (the encoded content), filename (original name), and optionally contentType
  3. The response includes the parsed and normalized resume data

Upload a job description file

  1. Same process as resume: base64-encode the file
  2. Call upload-job-file with fileBase64, filename, and optionally contentType
  3. Returns the same structured output as upload-job-text
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. 2mo ago First seen · 42 lines · 42 tokens per session scan A 986601edae89

Subscribe to this mod's changes

upload-parse is a skill published in the GitHub repository ebenezer-isaac/llmconveyors-mcp (1 stars, last pushed 7mo ago), licensed MIT. It adds 42 tokens to every session and 430 once invoked, about $0.0002 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.

Documents
Related

upload-parse compared with skills from other repositories

upload-parse next to 6 skills from other repositories
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apify-youtube-transcript-scrapersickn33/agentic-awesome-skillsSkill49kyesterdayMITA48Claude Code
legal-holdanthropics/claude-for-legalSkill9.9kyesterdayApache-2.0A68Claude Code
report-to-pdfasgeirtj/system_prompts_leaksSkill71ktodayCC0-1.0A17Claude Code, Codex
artifact-template-minimal-letterheadasgeirtj/system_prompts_leaksSkill71ktodayCC0-1.0A54Claude Code, Codex