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/zeenie-ai/opencompany/python-skillnpx skills add zeenie-ai/OpenCompany --skill python-skillgit clone --depth 1 https://github.com/zeenie-ai/OpenCompanyWhat 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 | $0.00029 | $0.01381 |
| Opus 5 | $0.00015 | $0.00691 |
| Sonnet 5 | $0.00006 | $0.00276 |
| Haiku 4.5 | $0.00003 | $0.00138 |
Grade A, and why
python-skill 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.
How it starts
The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Code Execution Tool
Execute Python code for calculations, data processing, and automation tasks.
How It Works
This skill provides instructions for the Python Executor tool node. Connect the Python Executor node to Zeenie's input-tools handle to enable Python code execution.
python_code Tool
Execute Python code and return results.
Schema Fields
| Field | Type | Required | Description |
|---|---|---|---|
| code | string | Yes | Python code to execute |
Available Libraries
All modules below are pre-injected as names in the sandbox. Do not use import statements — they will fail (ImportError: __import__ not found). Reference each name directly.
| Name | Reference Style | Description |
|---|---|---|
math |
math.sqrt(2) |
Mathematical functions |
json |
json.loads(s) / json.dumps(d) |
JSON encoding/decoding |
datetime |
datetime.datetime.now() (the module) |
Date/time module |
timedelta |
timedelta(days=30) |
Duration class (already unwrapped) |
re |
re.findall(pat, text) |
Regular expressions |
random |
random.randint(1, 10) |
Random number generation |
Counter |
Counter(items) |
Count hashable objects (already unwrapped) |
defaultdict |
defaultdict(list) |
Dictionary with defaults (already unwrapped) |
Built-in Variables
| Variable | Description |
|---|---|
input_data |
Data from connected workflow nodes (dict) |
output |
Set this to return a result |
Output Methods
- Set
outputvariable: Returns structured data to the workflow - Use
print(): Captured as console output
Examples
Basic calculation:
{
"code": "result = 25 * 4 + 10\nprint(f'Result: {result}')\noutput = result"
}
Calculate tip:
{
"code": "bill = 85.50\ntip_percent = 15\ntip = bill * (tip_percent / 100)\ntotal = bill + tip\nprint(f'Tip: ${tip:.2f}')\nprint(f'Total: ${total:.2f}')\noutput = {'tip': tip, 'total': total}"
}
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 · 167 lines · 29 tokens per session scan A 4224aa4fa278
python-skill is a skill published in the GitHub repository zeenie-ai/OpenCompany (797 stars, last pushed 9d ago), licensed MIT. It adds 29 tokens to every session and 1,381 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 2026-08-30.
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