review-topic-input-boundary-security

review-topic-input-boundary-security is an Application security skill for AI agents, published by roboflow in the inference repository on GitHub. Skillspace rates review-topic-input-boundary-security D (61/100) and it passed the safety scan; the rating is based on static analysis only.

Load when a PR touches SSRF/URL-fetch guards (`_ensure_url_input_allowed`, `_ensure_resource_fqdn_allowed`, `WHITELISTED_DESTINATIONS_FOR_URL_INPUT`/`BLACKLISTED_DESTINATIONS_FOR_URL_INPUT`), local-file image loads (`ALLOW_LOADING_IMAGES_FROM_LOCAL_FILESYSTEM`), model-cache paths from a `model_id` (`cache_path_is_within_root`, `MODEL_CACHE_DIR`), unsafe deserialization (`pickle.loads`, `torch.load`, `weights_only`, `allow_untrusted_packages`), or archive extraction (`tarfile.extractall`, `ZipFile`).

Grade
D
Quality
61 / 100
Safety
Passed
GitHub stars
2,377

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
94 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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