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/auto_task.criticizenpx skills add causify-ai/helpers --skill auto_task.criticizegit 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/auto_task.criticize)<a href="https://agentmods.dev/skills/causify-ai/helpers/auto_task.criticize"><img src="https://agentmods.dev/badge/skills/causify-ai/helpers/auto_task.criticize.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 | $0.00009 | $0.00167 |
| Opus 5 | $0.00005 | $0.00084 |
| Sonnet 5 | $0.00002 | $0.00033 |
| Haiku 4.5 | $0.00001 | $0.00017 |
Grade A, and why
auto_task.criticize 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 3d 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
- The user will pass you a file or a GitHub issue number, and you will read carefully the content and make sure both the problem and the solution is clear
Workflow
Read Context
- Read the content (file or GitHub issue)
- Analyze the problem and the solution, reviewing it carefully
Create a plan, if needed
- If the task is not perfectly clear:
- Ask for clarifications
- Propose changes to the file to clarify
Conventions
-
When writing code you must always follow the instructions in
.claude/skills/coding.rules.md -
When writing testing code you must always follow the instructions in
.claude/skills/testing.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.
- 3d ago First seen · 26 lines · 9 tokens per session scan A 4a24ff4d3f30
auto_task.criticize is a skill published in the GitHub repository causify-ai/helpers (145 stars, last pushed today), licensed Apache-2.0. It adds 9 tokens to every session and 167 once invoked, about $0.0000 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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