oracle

oracle is an Application security skill for AI agents, published by SciSharp in the NumSharp repository on GitHub. Skillspace rates oracle D (59/100) and it passed the safety scan; the rating is based on static analysis only.

NumSharp's differential-fuzz pipeline — the NumPy 2.4.2 "oracle" that proves every NDIter-backed op is BIT-IDENTICAL to NumPy across the input space. Use this whenever you add or change an np.* op and need fuzz coverage, regenerate the committed corpus, wire an op into OpRegistry, understand or debug the FuzzMatrix gate, triage a divergence (bit-diff / MisalignedRegistry / OpenBugs), or extend dtype/layout/tier coverage. Trigger on: "oracle", "differential fuzz", "fuzz coverage", "FuzzMatrix", "gen_oracle", "OpRegistry", "the corpus", "regenerate the corpus", "bit-exact vs numpy", "why is the fuzz gate failing / red", "add <op> to the fuzz gate", Char/Decimal/index/npy oracle, "shrink a failing case". This is the correctness gate — reach for it before assuming an op is done.

Grade
D
Quality
59 / 100
Safety
Passed
GitHub stars
1,480

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

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

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

Our review

Architecture
84 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

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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