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 agentmods add skills/fuyuxiang/echo-agent/file-convertnpx skills add fuyuxiang/echo-agent --skill file-convertgit clone --depth 1 https://github.com/fuyuxiang/echo-agentWrote 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/fuyuxiang/echo-agent/file-convert)<a href="https://agentmods.dev/skills/fuyuxiang/echo-agent/file-convert"><img src="https://agentmods.dev/badge/skills/fuyuxiang/echo-agent/file-convert.svg" alt="Measured on agentmods" 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 | $0.00034 | $0.00424 |
| Opus 5 | $0.00017 | $0.00212 |
| Sonnet 5 | $0.00007 | $0.00085 |
| Haiku 4.5 | $0.00003 | $0.00042 |
Grade A, and why
file-convert 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 4d 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
File Convert
Common format conversions using Python stdlib + minimal dependencies.
Quick Conversions
CSV → JSON
python3 -c "import csv,json,sys; print(json.dumps(list(csv.DictReader(open(sys.argv[1]))),ensure_ascii=False,indent=2))" data.csv
JSON → CSV
import json, csv, sys
data = json.load(open(sys.argv[1]))
w = csv.DictWriter(sys.stdout, fieldnames=data[0].keys())
w.writeheader(); w.writerows(data)
YAML → JSON
python3 -c "import yaml,json,sys; print(json.dumps(yaml.safe_load(open(sys.argv[1])),ensure_ascii=False,indent=2))" file.yaml
JSON → YAML
python3 -c "import yaml,json,sys; print(yaml.dump(json.load(open(sys.argv[1])),allow_unicode=True,default_flow_style=False))" file.json
Markdown → HTML
pip install markdown
python3 -c "import markdown,sys; print(markdown.markdown(open(sys.argv[1]).read(),extensions=['tables','fenced_code']))" file.md
Base64 encode/decode
base64 < file.bin > file.b64
base64 -d < file.b64 > file.bin
Universal Converter Script
python3 scripts/convert.py input.csv output.json
python3 scripts/convert.py data.yaml data.json
python3 scripts/convert.py README.md README.html
Auto-detects format from file extension and performs the appropriate conversion.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 60 lines · 34 tokens per session scan A da5783357dc6
file-convert is a skill published in the GitHub repository fuyuxiang/echo-agent (988 stars, last pushed 4d ago), licensed MIT. It adds 34 tokens to every session and 424 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.
Other skills, from other repositories
pptx
从论文、大纲或结构化文本生成 PowerPoint (.pptx) 演示文稿。Use when 用户需要把一篇论文/文章/大纲做成幻灯片、slides、演示文稿、PPT、deck。Don't use when 只需纯文本总结、生成 Word/PDF、或修改已有 pptx 的单个像素级样式。.
ppt-generation
Generate PPTX presentations from slide plan + content.
data-analysis
Analyze Excel/CSV files with DuckDB SQL via bash.
xlsx
Use this skill whenever the user wants to do anything with Excel spreadsheet files (.xlsx, .xls, .csv). This includes reading data, writing formulas, manipulating cells, formatting, filtering, creating charts, pivot tables, and any spreadsheet automation tasks.
xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify…
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.