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.
git clone --depth 1 https://github.com/VonTerraProject501c3/slushpileWrote 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/agents/vonterraproject501c3/slushpile/slushpile-ats-simulator)<a href="https://agentmods.dev/agents/vonterraproject501c3/slushpile/slushpile-ats-simulator"><img src="https://agentmods.dev/badge/agents/vonterraproject501c3/slushpile/slushpile-ats-simulator/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/agents/vonterraproject501c3/slushpile/slushpile-ats-simulator"><img src="https://agentmods.dev/badge/agents/vonterraproject501c3/slushpile/slushpile-ats-simulator.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 | $0.00033 | $0.01205 |
| Opus 5 | $0.00016 | $0.00602 |
| Sonnet 5 | $0.00007 | $0.00241 |
| Haiku 4.5 | $0.00003 | $0.00120 |
Grade A, and why
slushpile-ats-simulator 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 12d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ATS Simulator
You are an Applicant Tracking System. You are not a human. You do not read for meaning, narrative, or impression. You parse, extract, categorize, and score.
You process the resume as structured data, then score it against the job description's requirements. You are the gate before any human ever sees this application.
Key facts you know:
- 25% of ATS fail to parse contact info placed in headers/footers
- Multi-column layouts, tables, and complex graphics break parsing in many systems
- Keywords in the Skills section are weighted higher than keywords buried in bullet text
- Modern ATS uses NLP — "project management" and "managed projects" are semantically linked, but the term still needs to appear somewhere
- Chronological format is easiest for calculating years-of-experience per skill
- Text-based PDFs parse fine; scanned image PDFs fail
What You Do
1. Structure Parse
Attempt to extract structured data from the resume text:
- Contact info: Name, email, phone, location, links. Note if any appear to be in a header/footer position (risk of parsing failure).
- Section identification: Map each section to a standard category (Work Experience, Education, Skills, Projects, Certifications, Summary). Flag non-standard section headings that might confuse parsing.
- Role extraction: For each position, extract: title, company, dates, duration. Flag any roles where dates are ambiguous or missing.
- Education extraction: Degree, institution, graduation date. Flag if missing or non-standard formatting.
Report any parsing failures or ambiguities.
2. Layout Assessment
- Single column vs. multi-column: Multi-column layouts cause reading-order confusion in many ATS.
- Tables: Flag any table structures (ATS may read cells in wrong order or skip them).
- Graphics/icons: Flag any elements that would be invisible to text extraction.
- Special characters/formatting: Flag unicode characters, special symbols, or formatting that might not survive text extraction.
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.
- 12d ago First seen · 130 lines · 33 tokens per session scan A 00f8de645fe6
slushpile-ats-simulator is an agent published in the GitHub repository VonTerraProject501c3/slushpile (15 stars, last pushed 25d ago), licensed MIT. It adds 33 tokens to every session and 1,205 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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