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 cxcscmu/SkillLearnBench --skill json-file-processinggit clone --depth 1 https://github.com/cxcscmu/SkillLearnBenchWrote 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/cxcscmu/skilllearnbench/json-file-processing)<a href="https://agentmods.dev/skills/cxcscmu/skilllearnbench/json-file-processing"><img src="https://agentmods.dev/badge/skills/cxcscmu/skilllearnbench/json-file-processing.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 5.1 | $0.00021 | $0.00383 |
| Opus 5 | $0.00010 | $0.00192 |
| Sonnet 5 | $0.00004 | $0.00077 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
json-file-processing 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 3d 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
JSON File Processing for Meeting Scheduler
Reading Input
import json
with open("/root/test_input.json") as f:
emails = json.load(f)
# Each item has: email_text, from_email
for i, email in enumerate(emails, start=1):
msg_id = i
text = email["email_text"]
sender = email["from_email"]
Writing Reply Files
def save_reply(msg_id, content):
filename = f"/root/reply_{msg_id}.txt"
with open(filename, "w") as f:
f.write(content)
return f"reply_{msg_id}.txt"
Writing results.json
results = {
"sent_results": [
{"filename": f"reply_{msg_id}.txt", "recipient": sender}
for msg_id, sender in ...
]
}
with open("/root/results.json", "w") as f:
json.dump(results, f, indent=2)
Date Formatting Rules
- Day name: full name, e.g. "Monday"
- Month: full name, e.g. "March"
- Day: zero-padded two digits, e.g. "09"
- Year: four digits, e.g. "2026"
- Example: "Monday, March 09, 2026"
Time Formatting Rules
- Hours: zero-padded two digits, e.g. "09", "10", "11"
- Minutes: zero-padded two digits, e.g. "00", "30"
- Period: "AM" or "PM"
- Example: "09:00 AM - 10:30 AM"
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.
- 3d ago First seen · 55 lines · 21 tokens per session scan A 114766f03404
json-file-processing is a skill published in the GitHub repository cxcscmu/SkillLearnBench (83 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 383 once invoked, about $0.0001 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 2026-09-03.
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