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/yaniv-golan/affinity-sdk/affinity-python-sdknpx skills add yaniv-golan/affinity-sdk --skill affinity-python-sdkgit clone --depth 1 https://github.com/yaniv-golan/affinity-sdkWhat 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 | $0.00020 | $0.03368 |
| Opus 5 | $0.00010 | $0.01684 |
| Sonnet 5 | $0.00004 | $0.00674 |
| Haiku 4.5 | $0.00002 | $0.00337 |
Grade A, and why
affinity-python-sdk 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 yesterday.
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 — 413 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Affinity Python SDK
IMPORTANT: Write Operations Require Explicit User Request
Always use read-only mode by default. Only allow writes when the user explicitly requests data modification.
from affinity.policies import Policies, WritePolicy
# DEFAULT: Read-only mode (prevents accidental data modification)
with Affinity.from_env(policies=Policies(write=WritePolicy.DENY)) as client:
... # Write operations will raise WriteNotAllowedError
# ONLY when user explicitly approves writes:
with Affinity.from_env() as client:
...
Installation
# SDK only (Python API wrapper)
pip install affinity-sdk
# SDK with .env file support
pip install "affinity-sdk[dotenv]"
Client Initialization
from affinity import Affinity, AsyncAffinity
from affinity.policies import Policies, WritePolicy
# RECOMMENDED: Read-only with .env file
with Affinity.from_env(load_dotenv=True, policies=Policies(write=WritePolicy.DENY)) as client:
me = client.whoami()
companies = client.companies.all()
# Async client
async with AsyncAffinity.from_env(policies=Policies(write=WritePolicy.DENY)) as client:
companies = await client.companies.all()
Multi-Source Tasks: Output Only the Summary
When a task combines data from multiple Affinity sources (e.g., person + interactions + list entries), fetch everything in one script and print only the relevant summary. Never dump raw model_dump_json() — it floods the conversation with hundreds of lines the agent must parse just to extract a few facts.
Do this when: combining entity details with interactions, cross-referencing list entries with entities, generating reports from multiple queries.
A single SDK call is fine when: fetching one entity, listing one page of results, or performing a single write.
Bad: dumping raw models
person = client.persons.get(PersonId(123))
print(person.model_dump_json(indent=2)) # 200+ lines of raw JSON
Good: extract and print only what's needed
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.
- yesterday First seen · 413 lines · 20 tokens per session scan A 46ca719ee1b3
affinity-python-sdk is a skill published in the GitHub repository yaniv-golan/affinity-sdk (0 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 3,368 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 2026-08-31.
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