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 rules/technickai/ai-coding-config/external-apisgit clone --depth 1 https://github.com/TechNickAI/ai-coding-configWhat 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 | $0.00004 | $0.00352 |
| Opus 5 | $0.00002 | $0.00176 |
| Sonnet 5 | $0.00001 | $0.00070 |
| Haiku 4.5 | $0.00000 | $0.00035 |
Grade A, and why
external-apis 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 2d 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.
This is a copy
94% identical to external-apis — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
External API Client Guidelines
These guidelines ensure consistent, reliable, and maintainable API clients.
Core Principles
- We return None on API errors (don't raise exceptions)
- We use type hints consistently
- We document methods with helpful docstrings (skip redundant Args/Returns)
- We use appropriate logging levels
- We let exceptions bubble up unless we're truly handling them
Method Pattern
def get_something(self, param: str) -> dict | None:
"""Fetch something from the API.
Returns None if the API returns no data or encounters an error.
"""
logger.info(f"Fetching something for {param}")
response = self.request("/endpoint", params={"key": param})
if not response:
logger.warning(f"No data returned for {param}")
return None
return response["data"]
Error Handling
We let the base HTTP client handle HTTP/network errors. We only use try/except for specific scenarios with actual handling. We validate response structure before access.
Validation Pattern
response = self.request("/endpoint", params={"key": value})
if not response or "data" not in response:
logger.warning(f"No data returned for {value}")
return None
Response Processing
We validate response structure before access, convert to standard types (Decimal for financial data), clean and normalize data, and return None for errors (not empty dicts).
Testing
We mock all external calls in unit tests, use @pytest.mark.flaky for live API tests, and test both success and error cases.
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.
- 2d ago First seen · 60 lines · 4 tokens per session scan A d89ee09de6e4
external-apis is a cursor rule published in the GitHub repository TechNickAI/ai-coding-config (24 stars, last pushed 2mo ago), licensed MIT. It adds 4 tokens to every session and 352 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to external-apis, differing in 1 line, and is treated as a copy.
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