Borrowing it
Nothing to install: this file belongs to albumentations-team/albucore. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/albumentations-team/albucore/main/.codex/skills/albucore-public-api/SKILL.mdgit clone --depth 1 https://github.com/albumentations-team/albucoreWrote 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/albumentations-team/albucore/albucore-public-api)<a href="https://agentmods.dev/skills/albumentations-team/albucore/albucore-public-api"><img src="https://agentmods.dev/badge/skills/albumentations-team/albucore/albucore-public-api/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/albumentations-team/albucore/albucore-public-api"><img src="https://agentmods.dev/badge/skills/albumentations-team/albucore/albucore-public-api.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00041 | $0.01381 |
| Opus 5.5 | $0.00016 | $0.00552 |
| Sonnet 5.5 | $0.00008 | $0.00276 |
| Haiku 4.5 | $0.00004 | $0.00138 |
Grade A, and why
albucore-public-api 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Albucore Public API
Export ownership
albucore/__init__.py directly imports public operations and declares a literal __all__.
Keep one entry per public name. Types live in albucore/_types.py and are exported from the package root.
There is no intermediate operation re-export module.
Public callers use from albucore import <operation>. Backend-specific functions are internal implementation
choices; tests and benchmarks import them from the owning module rather than exposing them at the package root.
Use docs/public-api.md for operation contracts and module ownership.
Input/output type relationships
Public operations use concrete signatures and overloads. Preserve input-dependent container and dtype results;
normalization, conversion, and statistics follow their declared output dtype rather than a generic image policy.
Keep implementation unions separate from precise caller overloads. Do not replace required arguments with Any.
Write concrete NumPy dtypes directly as NDArray[np.uint8], NDArray[np.float16] and NDArray[np.float32].
Dtype annotations do not define image, video or volume rank. Keep unions and TypeVars only where they express
supported inputs or an input/output relationship.
ImageInputT bounds a helper to supported NumPy image dtypes or Tensor when it preserves both dtype and container.
Keep scalar/control arguments explicit and use concrete overloads when an operation changes dtype.
Extend checked consumer cases for the affected dtype, container, required controls, layout, and explicit output.
Run mypy and Pyrefly with actual dependency stubs. Keep callable signatures explicit and express dtype, container,
layout, and output contracts in concrete operations.
Use concrete Albucore routers with explicit dtype, container, layout, clipping, and out= contracts.
Before interpreting a typing result, verify the imported producer path and a Python target compatible with the
installed dependency stubs. Missing Torch stubs turn Tensor overloads into Any and can silently accept a NumPy
output with the wrong dtype. Keep the isolated hook's Torch stubs and the full-runtime consumer check; the latter also
loads the real OpenCV stubs. A passing check against an installed old Albucore package is not evidence for this tree.
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.
- 2d ago Changed · +2 lines dcc9aeee6d44
- 4d ago Changed · +48 lines · -10 tokens per session 17584e0191e4
- 20d ago Changed · +8 lines f26b9c774d06
- 2mo ago First seen · 34 lines · 51 tokens per session scan A bd66b72c26cb
albucore-public-api is a skill published in the GitHub repository albumentations-team/albucore (124 stars, last pushed yesterday), licensed MIT. It adds 41 tokens to every session and 1,381 once invoked, about $0.0002 per session on Opus 5.5. 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.
albucore-public-api compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| albucore-public-apialbumentations-team/albucore | Skill | 124 | yesterday | MIT | A | 41 | Codex |
| marimo-pairmarimo-team/marimo | Skill | 23k | yesterday | Apache-2.0 | A | 57 | Claude Code, Codex |
| stack-trace-python-probeopensquilla/opensquilla | Skill | 7.1k | 6d ago | Apache-2.0 | A | 40 | Claude Code |
| lepton-clileptonai/leptonai | Skill | 2.8k | yesterday | Apache-2.0 | A | 122 | Claude Code |
| perforatedaiPerforatedAI/PerforatedAI | Skill | 240 | yesterday | Apache-2.0 | A | 133 | Claude Code, Codex |
| nanoresearch-experimentOpenRaiser/NanoResearch | Skill | 1.3k | 28d ago | MIT | A | 15 | Claude Code, Codex |
| voyager-new-appfxd0h/Axelera-Voyager-Local-Assistant | Skill | 4 | 3mo ago | MIT | A | 98 | Claude Code |