Borrowing it
Nothing to install: this file belongs to jitendrasinghsankhwar/resume-forge-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jitendrasinghsankhwar/resume-forge-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/jitendrasinghsankhwar/resume-forge-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/instructions/jitendrasinghsankhwar/resume-forge-mcp/claude-md)<a href="https://agentmods.dev/instructions/jitendrasinghsankhwar/resume-forge-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/jitendrasinghsankhwar/resume-forge-mcp/claude-md/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/instructions/jitendrasinghsankhwar/resume-forge-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/jitendrasinghsankhwar/resume-forge-mcp/claude-md.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 | $0.01052 | $0.01052 |
| Opus 5 | $0.00526 | $0.00526 |
| Sonnet 5 | $0.00210 | $0.00210 |
| Haiku 4.5 | $0.00105 | $0.00105 |
Grade A, and why
resume-forge-mcp CLAUDE.md 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.
This is a copy
98% identical to resume_mcp CLAUDE.md — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
latex-resume-mcp
MCP server for intelligent LaTeX resume generation with visual verification and job description tailoring.
Quick Reference
- Language: Python 3.12 (requires >=3.11)
- Entry point:
src/resume_forge_mcp/server.py - Package manager: pip with hatchling build backend
- Test framework: pytest with pytest-asyncio (asyncio_mode = auto)
Verification Commands
Run before every commit:
pytest -v
ruff check src/ tests/
mypy src/
bandit -r src/
Code Style
- Indentation: tabs
- Quotes: double quotes
- Line length: 100
- Type hints: used throughout, mypy strict mode
- Comments: minimal, only for complex logic
Architecture
src/resume_forge_mcp/
├── server.py # FastMCP server + 15 tool registrations
├── models/
│ ├── resume.py # Pydantic: ResumeData, Experience, Project, etc.
│ └── analysis.py # Pydantic: BulletScore, ResumeScore, ATSReport
├── templates/
│ ├── engine.py # Jinja2 renderer (<< >> delimiters)
│ └── jake_resume.tex.j2 # LaTeX template with Jinja2 loops
├── compiler/
│ ├── latex.py # pdflatex compilation + log parsing
│ └── preview.py # PyMuPDF PDF→PNG rendering
├── intelligence/
│ ├── knowledge.py # Action verbs, bullet rubric, ATS rules
│ ├── analyzer.py # score_bullet(), score_resume(), check_ats()
│ └── tailoring.py # JD parsing, content selection/ranking
└── storage/
└── resume_store.py # JSON file I/O for ResumeData + variants
Key Decisions
| Decision | Rationale |
|---|---|
Jinja2 with << >> delimiters |
LaTeX uses {} everywhere; custom delimiters avoid escaping |
| Preamble static in template | Danny's exact format preserved; only body content generated |
| PyMuPDF for PDF→image | Fast, no external deps, returns Image to Claude |
| Pydantic data models | Validation, JSON serialization, matches conventions |
| JSON storage (not SQLite) | Resume data <100KB, human-readable, git-trackable |
| Tags on entries | LLM-friendly content selection by role type |
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 · 109 lines · 1,052 tokens per session scan A 4053d7d9dcb7
resume-forge-mcp CLAUDE.md is an instructions file published in the GitHub repository jitendrasinghsankhwar/resume-forge-mcp (0 stars, last pushed 5mo ago), licensed MIT. It adds 1,052 tokens to every session, about $0.0053 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to resume_mcp CLAUDE.md, differing in 4 lines, and is treated as a copy.
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