Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/ruslan-korneev/claude-pluginsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/ruslan-korneev/claude-plugins/typecheck-explain)<a href="https://agentmods.dev/commands/ruslan-korneev/claude-plugins/typecheck-explain"><img src="https://agentmods.dev/badge/commands/ruslan-korneev/claude-plugins/typecheck-explain/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/ruslan-korneev/claude-plugins/typecheck-explain"><img src="https://agentmods.dev/badge/commands/ruslan-korneev/claude-plugins/typecheck-explain.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00024 | $0.01354 |
| Opus 5.5 | $0.00010 | $0.00542 |
| Sonnet 5.5 | $0.00005 | $0.00271 |
| Haiku 4.5 | $0.00002 | $0.00135 |
Grade A, and why
typecheck:explain 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.
How it starts
The opening of the file, as written. The whole thing — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Command /types:explain
Explain the type error and show the correct solution without type: ignore.
Principle
NEVER suggest type: ignore. Every type error has a correct solution.
Instructions
Step 1: Get context
If file:line is specified — read the code around the error.
# Get the error
mypy src/file.py:{{ line }} --show-error-codes
Step 2: Identify the error type
Common mypy errors:
error: Incompatible types in assignmenterror: Argument X has incompatible typeerror: Item "None" of "..." has no attributeerror: Missing return statementerror: Function is missing a return type annotationerror: Need type annotation for "..."
Step 3: Show the solution
Solutions for Common Errors
Incompatible types in assignment
# Error
x: str = 123 # Incompatible types in assignment (expression has type "int", variable has type "str")
# Solution 1: Change the variable type
x: int = 123
# Solution 2: Convert the value
x: str = str(123)
# Solution 3: Use Union
x: int | str = 123
Argument has incompatible type
# Error
def process(items: list[str]) -> None: ...
process(["a", "b", 1]) # Argument 1 has incompatible type "list[str | int]"
# Solution: Fix data or signature
process(["a", "b", str(1)])
# or
def process(items: list[str | int]) -> None: ...
Item "None" has no attribute
# Error
user = get_user(id) # Returns User | None
print(user.name) # Item "None" of "User | None" has no attribute "name"
# Solution 1: Check for None
user = get_user(id)
if user is not None:
print(user.name)
# Solution 2: Early return
user = get_user(id)
if user is None:
raise ValueError("User not found")
print(user.name) # Now mypy knows user is not None
# Solution 3: assert (only for internal code)
user = get_user(id)
assert user is not None, "User must exist"
print(user.name)
Missing return statement
# Error
def process(x: int) -> str:
if x > 0:
return "positive"
# Missing return statement
# Solution: Add return for all paths
def process(x: int) -> str:
if x > 0:
return "positive"
return "non-positive"
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.
- 1mo ago First seen · 267 lines · 0 tokens per session scan A e3a68300f8f6
typecheck:explain is a command published in the GitHub repository ruslan-korneev/claude-plugins (5 stars, last pushed 7mo ago), licensed MIT. It adds 24 tokens to every session and 1,354 once invoked, about $0.0001 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 2026-08-31.
Other commands, from other repositories
async-check
Vérification Patterns Async Python.
type-coverage
Vérification Couverture des Types Python.
python-dev
Start Python development workflow with architecture, implementation, review, and testing phases.
py-structure
Analyze and recommend project structure improvements. Checks file sizes, layer organization, module splitting, and hexagonal architecture compliance.
setup
Interactive setup for Python LSP development environment.
debug
A debugging command that sends an error, log, or screenshot to a debugger agent for analysis. The debugger reports confirmed facts separately from possible explanations and does not modify files.