SKILLEMALL.ai

CC thunder-deep-review

Reviews a pull request, diff, or branch against Thunderbolt's house rules (no any, type-over-interface, arrow fns, const/early-return, no error-swallowing or defensive code, useReducer at 3+ useState, useEffect discipline, route code-splitting, soft-deletes, integration-agnostic logic) and the 80 architecture invariants. Goes beyond bug-finding to catch architecture/abstraction-layer mistakes, undocumented intent, convention drift, bloat/supply-chain, and readability. Use when reviewing a PR/diff/branch, when the user says review, code-review, deep-review, or "review before merge". Read-only on the code: reports findings, never edits code or posts to the PR.

thunderbird/thunderbolt Agent Skills author: thunderbird MPL-2.0 8 files body ≈ 7 815 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Reviews a pull request, diff, or branch against Thunderbolt's house rules (no any, type-over-interface, arrow fns, const/early-return, no error-swallowing or…

As a process C 64/100 · Has gaps — weak spots: failures and branches, running it twice, progress reporting

AnalyzerSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
C
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
C
64/100
Has gaps
Failures and branches w 10
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: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Reviews a pull request, diff, or branch against Thunderbolt's hous… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning body-long SKILL.md body ≈ 7815 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 64/100

  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 32 mutating operations with no state check
  • 60Tools and files. Uses tools (read, web) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 7815 tokens
  • 100Steps. 65 steps
  • 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

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
  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +3Description length 666: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 65 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.