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 ebenezer-isaac/llmconveyors-mcp --skill upload-parsegit clone --depth 1 https://github.com/ebenezer-isaac/llmconveyors-mcpWrote 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/ebenezer-isaac/llmconveyors-mcp/upload-parse)<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.
<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>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 | $0.00042 | $0.00430 |
| Opus 5 | $0.00021 | $0.00215 |
| Sonnet 5 | $0.00008 | $0.00086 |
| Haiku 4.5 | $0.00004 | $0.00043 |
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 9d 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.
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
- Call
upload-job-textwith thetextparameter containing the job description - The response includes parsed fields:
companyName,jobTitle,keywords,metadata - Use these fields with other tools like
ats-scoreorjob-hunter-run
Upload a resume file
- The file must be base64-encoded. If working with a local file, read it and encode to base64.
- Call
upload-resumewithfileBase64(the encoded content),filename(original name), and optionallycontentType - The response includes the parsed and normalized resume data
Upload a job description file
- Same process as resume: base64-encode the file
- Call
upload-job-filewithfileBase64,filename, and optionallycontentType - Returns the same structured output as
upload-job-text
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.
- 9d ago First seen · 42 lines · 42 tokens per session scan A 986601edae89
upload-parse is a skill published in the GitHub repository ebenezer-isaac/llmconveyors-mcp (1 stars, last pushed 5mo ago), licensed MIT. It adds 42 tokens to every session and 430 once invoked, about $0.0002 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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