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.todoai_gpnpx skills add causify-ai/helpers --skill coding.todoai_gpgit 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.todoai_gp)<a href="https://agentmods.dev/skills/causify-ai/helpers/coding.todoai_gp"><img src="https://agentmods.dev/badge/skills/causify-ai/helpers/coding.todoai_gp.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 | $0.00333 |
| Opus 5 | $0.00010 | $0.00167 |
| Sonnet 5 | $0.00004 | $0.00067 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
coding.todoai_gp 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
Goal
- Implement all the
TODO(ai_gp)in the passed file
Renaming and Moving Objects
-
When renaming an object make sure to update all the references to those objects in the code base
- When renaming or moving files update imports
- For functions, find the callers in notebooks ipynb, Python files, and other
files and update those references (use
grepto make sure all the references are updated) - Update documentation in txt and md files
-
In a
TODO(...):the sign-> XYZmeans "rename to XYZ" -
When moving a function among files, move also the tests to the corresponding file
.../test/test_...
Fix TODOs Around the Code
- When fixing a TODO check whether there are more instances of the same TODO in the same file and fix also those
Remove TODOs
- Remove the
TODOonly if the TODO was implemented - If you can't implement a TODO, leave the TODO in place and add a comment shortly explaining why can't be done
Verification
- Run the corresponding unit tests to make sure the code works
- Grep in the repo for the renamed, removed objects to make sure there are no hanging references
Conventions
- Depending on the file type follow the instructions for the file type based on
@.claude/rules.md
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 · 40 lines · 20 tokens per session scan A 6b0375053c54
coding.todoai_gp 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 333 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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