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 crypdick/pynchy --skill python-heredocgit clone --depth 1 https://github.com/crypdick/pynchyWrote 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/crypdick/pynchy/python-heredoc)<a href="https://agentmods.dev/skills/crypdick/pynchy/python-heredoc"><img src="https://agentmods.dev/badge/skills/crypdick/pynchy/python-heredoc/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/skills/crypdick/pynchy/python-heredoc"><img src="https://agentmods.dev/badge/skills/crypdick/pynchy/python-heredoc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 3 Subtle instructions detected that may alter agent decision-making or introduce hidden biases.Fix: Review content for implicit steering or bias. Ensure instructions are explicit and align with the skill's stated purpose.
- medium Data Exfiltration · line 30 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00043 | $0.00306 |
| Opus 5.5 | $0.00017 | $0.00122 |
| Sonnet 5.5 | $0.00009 | $0.00061 |
| Haiku 4.5 | $0.00004 | $0.00031 |
Grade A, and why
python-heredoc scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
resp = requests.get("https://api.example.com/data") What it actually says
Python Heredoc Pattern
Run Python via Bash? Never python -c "..." beyond trivial one-liners. Shell quoting break on f-strings, apostrophes, nested quotes, escape sequences.
Use heredoc syntax instead
uv run python << 'PYTHON_CODE'
import json
data = {"name": "it's working", "value": f"{1 + 2}"}
print(json.dumps(data, indent=2))
PYTHON_CODE
Single quotes round 'PYTHON_CODE' block shell var expansion. $variables and backticks stay literal Python.
With dependencies
uv run --with requests python << 'PYTHON_CODE'
import requests
resp = requests.get("https://api.example.com/data")
print(resp.json())
PYTHON_CODE
Rules
- Always
uv run python(not barepythonorpython3) - Always quote delimiter:
<< 'PYTHON_CODE'(not<< PYTHON_CODE) - Closing
PYTHON_CODEown line, no leading whitespace - Never
python -cfor code with quotes, f-strings, multiple statements
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.
- 1mo ago First seen · 41 lines · 43 tokens per session scan A 0a9121fdeefc
python-heredoc is a skill published in the GitHub repository crypdick/pynchy (10 stars, last pushed 1mo ago), licensed MIT. It adds 43 tokens to every session and 306 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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