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/docker.shrink_requirementsnpx skills add causify-ai/helpers --skill docker.shrink_requirementsgit 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/docker.shrink_requirements)<a href="https://agentmods.dev/skills/causify-ai/helpers/docker.shrink_requirements"><img src="https://agentmods.dev/badge/skills/causify-ai/helpers/docker.shrink_requirements.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 5.1 | $0.00014 | $0.00308 |
| Opus 5 | $0.00007 | $0.00154 |
| Sonnet 5 | $0.00003 | $0.00062 |
| Haiku 4.5 | $0.00001 | $0.00031 |
Grade A, and why
docker.shrink_requirements 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 6d 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
-
You are an expert of Docker
-
I will pass you a directory
<TARGET_DIR>with a project -
Find out which packages in
requirements.txtare not needed by the code in<TARGET_DIR>
Methodology
- Use
grep -r "import <pkg>"or AST-based analysis to find actual imports across all.pyfiles in<TARGET_DIR> - Map package names in
requirements.txtto their import names (e.g.,Pillow→PIL,scikit-learn→sklearn,PyYAML→yaml) - Also check
setup.py,pyproject.toml,tasks.py, andMakefilefor indirect or tool-level usage - Flag but do NOT remove packages that are:
- Runtime plugins or extras loaded dynamically (e.g., via
importlib) - Transitive dependencies pulled in by other listed packages
- Used only in test files (mark them as "test-only")
- Runtime plugins or extras loaded dynamically (e.g., via
Output
- Print a table with columns:
package | import_name | used_in_code | verdictverdictis one of:remove,keep,investigate,test-only
- Propose the trimmed
requirements.txtcontents and write it to disk
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.
- 6d ago First seen · 32 lines · 14 tokens per session scan A a07e6d42633e
docker.shrink_requirements is a skill published in the GitHub repository causify-ai/helpers (145 stars, last pushed yesterday), licensed Apache-2.0. It adds 14 tokens to every session and 308 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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