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/causify-ai/helpers/coding.fix_from_importsnpx skills add causify-ai/helpers --skill coding.fix_from_importsgit clone --depth 1 https://github.com/causify-ai/helpersWrote 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/causify-ai/helpers/coding.fix_from_imports)<a href="https://agentmods.dev/skills/causify-ai/helpers/coding.fix_from_imports"><img src="https://agentmods.dev/badge/skills/causify-ai/helpers/coding.fix_from_imports.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 | $0.00020 | $0.00239 |
| Opus 5 | $0.00010 | $0.00120 |
| Sonnet 5 | $0.00004 | $0.00048 |
| Haiku 4.5 | $0.00002 | $0.00024 |
Grade A, and why
coding.fix_from_imports 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
-
Replace any Python statement like
from X import Ywith the formimport Xand then replace the uses ofYwithX.Y -
For aliased imports
from X import Y as Z, convert toimport Xand replace all uses ofZwithX.Y -
For nested module imports
from X.Y import Z, convert toimport X.Yand replace all uses ofZwithX.Y.Z -
The only ones that can stay as
from X import Yare:from __future__ import annotations from typing import Any, Dict, List, Optional, Tuple, Union, ... (any typing name) from IPython.display import display from pathlib import Path -
Do not use
# Re-export get_chat_model for backward compatibility. get_chat_model = langchain_API_utils.get_chat_modelbut replace all the callers
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 · 29 lines · 20 tokens per session scan A 10e24c1881f7
coding.fix_from_imports is a skill published in the GitHub repository causify-ai/helpers (145 stars, last pushed today), licensed Apache-2.0. It adds 20 tokens to every session and 239 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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