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 instructions/fossasia/eventyay/pythongit clone --depth 1 https://github.com/fossasia/eventyayWhat 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 | $0.01707 | $0.01707 |
| Opus 5 | $0.00853 | $0.00853 |
| Sonnet 5 | $0.00341 | $0.00341 |
| Haiku 4.5 | $0.00171 | $0.00171 |
Grade A, and why
eventyay python.instructions.md 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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Development Instructions
Import
Import statements should be placed at the top of the file, not inside functions, except to resolve circular import errors.
Logging
-
When a logging message needs to be constructed from multiple parts or variables, do not use f-strings or any method that builds the string before passing it to the logger. Instead, use the logger's built-in string interpolation feature. For example, use
logger.info('User %s has logged in', username)instead oflogger.info(f"User {username} has logged in"). This avoids wasting computation when the log level does not match. -
Avoid catching generic exceptions such as
ExceptionorBaseException. Instead, catch specific exceptions that you expect to handle. This exposes errors originating from developer mistakes early, allowing us to fix them. -
When generating logs during exception handling, do not wrap the exception object with
str(). For example, do not:except SomeException as e: logger.error('An error occurred: %s', str(e))Instead, do:
except SomeException as e: logger.error('An error occurred: %s', e) -
When using
logger.exception()for logging, there is no need to include the exception object in the log message. For example, do not:except SomeException as e: logger.exception('An error occurred: %s', e)Instead, do:
except SomeException: logger.exception('An error occurred')because
logger.exception()automatically includes the stack trace of the caught exception. -
When converting datetime data to strings, prefer f-strings with format specifiers over
.strftime(). For example, usef"{dt:%Y-%m-%d %H:%M:%S}"instead ofdt.strftime("%Y-%m-%d %H:%M:%S"). -
When embedding datetime data into another string, do not convert the datetime to a string beforehand. For example, do not:
timestamp = datetime.now().strftime('%Y%m%d-%H%M%S') filename = f'export-{timestamp}.csv'
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 · 170 lines · 1,707 tokens per session scan A ae0c2801604b
eventyay python.instructions.md is an instructions file published in the GitHub repository fossasia/eventyay (1,653 stars, last pushed 2d ago), licensed Apache-2.0. It adds 1,707 tokens to every session, about $0.0085 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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