AgentTools: Skill for Claude Code

.claude/skills/add-code-inspector-rule/SKILL.md

add-code-inspector-rule is a skill for Claude Code from WolframResearch/AgentTools. It costs 66 tokens per session (2,595 once invoked), scanned A, original, MIT.

A workflow for adding a custom CodeInspector rule to Wolfram Language code. A code-inspection rule is a check that flags a particular coding pattern and reports its likely severity.

In plain words
What is it for?
Defining the problematic code, choosing how to detect it, assigning severity and confidence, implementing the rule, and adding tests.
Why use it?
It turns a known mistake or unwanted pattern into a repeatable check with tests, instead of relying on manual review.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

This is WolframResearch/AgentTools's own configuration. It tells Claude Code how to work on AgentTools itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything AgentTools configures →

Reuse

Borrowing it

Nothing to install: this file belongs to WolframResearch/AgentTools. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/WolframResearch/AgentTools/main/.claude/skills/add-code-inspector-rule/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/WolframResearch/AgentTools

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,595 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.02595
Opus 5.5 $0.00026 $0.01038
Sonnet 5.5 $0.00013 $0.00519
Haiku 4.5 $0.00007 $0.00260

Measured 1mo ago against content hash c1db2d611a48, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

add-code-inspector-rule scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/add-code-inspector-rule/SKILL.md · 306 lines

How it starts

The opening of the file, as written. The whole thing — 306 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Add a Custom CodeInspector Rule

Follow this workflow to implement a new code inspection rule. The rule system lives in Kernel/Tools/CodeInspector/Rules.wl with tests in Tests/CodeInspectorTool.wlt.

Step 1: Understand the Rule

$ARGUMENTS

Clarify these details (ask the user if not clear):

  • What code pattern should be detected? Get an example of the problematic code.
  • Why is it problematic? This becomes the inspection message.
  • Severity: Fatal (code will not run, parse etc.), Error (almost certainly a mistake), Warning (likely a mistake), Remark (suggestion), Formatting (style).
  • Confidence: 0.95 for highly certain rules, 0.9 for confident, 0.7-0.9 for likely.

Step 2: Choose the Rule Type

Type When to Use Add To
Abstract Match simplified AST patterns (most common) $customAbstractRules in Rules.wl
Concrete Need whitespace/comments (e.g., comment content) $concreteRules in Rules.wl
Aggregate Analyze relationships between multiple AST nodes $aggregateRules in Rules.wl
Text-level Raw source text (line length, file size, etc.) textLevelInspections function in Rules.wl

Step 3: Explore the AST Structure

Use the WolframLanguageEvaluator tool to parse example code and understand its AST:

Needs["CodeParser`"];
(* For abstract rules: *)
CodeParser`CodeParse["problematic code here"]
(* For concrete rules: *)
CodeParser`CodeConcreteParse["problematic code here"]

Study the output to determine which node types and patterns to match. Key node types:

  • CodeParser`CallNode — function calls like f[x]
  • CodeParser`LeafNode — atoms like 42, "hello", Symbol
  • CodeParser`InfixNode — infix ops like a + b
  • CodeParser`PrefixNode — prefix ops like -x

Note: If you want to use symbols defined in Rules.wl in the WolframLanguageEvaluator tool during your exploration, you'll need to use their fully qualified names:

Read the full file on GitHub · 306 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 306 lines · 66 tokens per session scan A c1db2d611a48

Subscribe to this mod's changes

add-code-inspector-rule is a skill published in the GitHub repository WolframResearch/AgentTools (96 stars, last pushed yesterday), licensed MIT. It adds 66 tokens to every session and 2,595 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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