attend
attend is an Agent security & guardrails skill for AI agents, published by jongwony in the epistemic-protocols repository on GitHub. Skillspace rates attend D (58/100) and it passed the safety scan; the rating is based on static analysis only.
Compile execution guardrails before autonomous execution. Infers a boundary map from context, partitions risks by velocity, compiles slow/threshold risks into verifiable predicates, and emits coarse goal entries for a downstream completion-predicate enforcer; fast risks are declared out of scope for harness-level gating. Stateless: compile-time only, no execution-time state. Type: (ExecutionBlind, User, EVALUATE, ExecutionContext) → SituatedExecution. Alias: Prosoche(προσοχή).
- Grade
- D
- Quality
- 58 / 100
- Safety
- Passed
- GitHub stars
- 124
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
- 89 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked 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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