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 fabioc-aloha/Alex_Skill_Mall --skill temp-file-python-analysisgit clone --depth 1 https://github.com/fabioc-aloha/Alex_Skill_MallWrote 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/fabioc-aloha/alex_skill_mall/temp-file-python-analysis)<a href="https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/temp-file-python-analysis"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/temp-file-python-analysis.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 | $0.00014 | $0.00576 |
| Opus 5 | $0.00007 | $0.00288 |
| Sonnet 5 | $0.00003 | $0.00115 |
| Haiku 4.5 | $0.00001 | $0.00058 |
Grade A, and why
temp-file-python-analysis 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
Temp File Python Analysis
The Problem
Inline Python in shell scripts has quoting issues:
# Fails with quote escaping problems
python -c "import pandas as pd; df = pd.read_csv('data.csv'); print(df[df['name'] == 'John'])"
# Even worse with complex logic
python -c "
import json
with open('config.json') as f:
data = json.load(f)
for item in data['items']:
if item['status'] == 'active':
print(item['name'])
"
The Solution
Write to _tmp.py, execute, delete:
# Write script
cat > _tmp.py << 'EOF'
import pandas as pd
df = pd.read_csv('data.csv')
result = df[df['name'] == 'John']
print(result.to_json(orient='records'))
EOF
# Execute
python _tmp.py
# Clean up
rm _tmp.py
PowerShell Equivalent
$script = @'
import pandas as pd
df = pd.read_csv('data.csv')
print(df.describe().to_string())
'@
$script | Out-File -FilePath "_tmp.py" -Encoding utf8
python _tmp.py
Remove-Item "_tmp.py"
Benefits
| Approach | Quoting Issues | Debugging | Editor Support |
|---|---|---|---|
Inline -c |
Many | Hard | None |
| Heredoc | Some | Medium | Limited |
| Temp file | None | Easy | Full |
Patterns
Quick Data Analysis
cat > _tmp.py << 'EOF'
import pandas as pd
import sys
df = pd.read_csv(sys.argv[1])
print(f"Rows: {len(df)}")
print(f"Columns: {list(df.columns)}")
print(df.dtypes)
EOF
python _tmp.py data.csv
rm _tmp.py
JSON Transformation
cat > _tmp.py << 'EOF'
import json
with open('input.json') as f:
data = json.load(f)
# Transform
result = [item for item in data if item.get('active')]
with open('output.json', 'w') as f:
json.dump(result, f, indent=2)
EOF
python _tmp.py
rm _tmp.py
When to Apply
- Any multi-line Python in shell context
- Complex string handling
- Data analysis one-offs
- JSON/CSV processing
Tags
data python shell analysis
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 · 113 lines · 14 tokens per session scan A 7feaf8c84a94
temp-file-python-analysis is a skill published in the GitHub repository fabioc-aloha/Alex_Skill_Mall (4 stars, last pushed today), licensed MIT. It adds 14 tokens to every session and 576 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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