SKILLEMALL.ai

BB Rust

Writes, debugs, and optimizes Rust code, crates, and Cargo builds: ownership, lifetimes, traits, async, unsafe, and FFI. Use when the borrow checker rejects code, when rustc reports value moved, cannot borrow as mutable, does not live long enough, missing lifetime specifier, trait bound not satisfied, or not dyn compatible; when a future cannot be sent between threads, a Mutex guard crosses an await, a task blocks the async runtime, or select! loses data; when code deadlocks, panics on unwrap, or hits BorrowMutError; when cargo builds are slow, features unify unexpectedly, two versions of one crate collide, or the build fails only in CI; when writing unsafe, C FFI, proc macros, serde derives, no_std firmware, or wasm; when cross-compiling to musl or another target; when profiling, benchmarking, or shrinking a Rust binary. Not for C++ or language-agnostic concurrency theory.

ClawHub Agent Skills author: Iván v1.0.3 MIT-0 28 files body ≈ 5 539 tokens Open the sourceclawhub.ai analyzed 3 d ago

Writes, debugs, and optimizes Rust code, crates, and Cargo builds: ownership, lifetimes, traits, async, unsafe, and FFI.

As a process B 71/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

GeneratorSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
B
71/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 28. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning body-long SKILL.md body ≈ 5539 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "changelog"

Process rating: all ten parameters 71/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 15 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 5539 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 50 steps
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 12 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (9 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +3Description length 886: 120–800 characters recommended
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 50 items
  • +3Output format is stated explicitly

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: clean
This Rust skill is coherent and not malicious, but it uses a disclosed local memory/preferences folder that users should be aware of.
LLM: benign (high) · VirusTotal: · 10 Sept 2026