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.
npx agentmods add skills/tykisgod/quick-question/depsnpx skills add tykisgod/quick-question --skill depsgit clone --depth 1 https://github.com/tykisgod/quick-questionWrote 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/skills/tykisgod/quick-question/deps)<a href="https://agentmods.dev/skills/tykisgod/quick-question/deps"><img src="https://agentmods.dev/badge/skills/tykisgod/quick-question/deps.svg" alt="Measured on agentmods" 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 | $0.00016 | $0.00913 |
| Opus 5 | $0.00008 | $0.00456 |
| Sonnet 5 | $0.00003 | $0.00183 |
| Haiku 4.5 | $0.00002 | $0.00091 |
Grade A, and why
deps 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 3d 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Respond in the user's preferred language (detect from their recent messages, or fall back to the language setting in CLAUDE.md).
Analyze the .asmdef dependency relationships of all modules in the project, outputting a Mermaid diagram + dependency matrix + issue detection.
Arguments: $ARGUMENTS
- Optional: specific module names to focus on
- No arguments: analyze all .asmdef files in the project
Execution Steps
1. Collect All .asmdef Files
Use Glob to find Assets/**/*.asmdef, excluding Tests and Editor asmdefs (filenames containing .Tests., .Editor., or .PlayModeTests.).
2. Build GUID → Name Mapping
For each .asmdef file:
- Read the .asmdef to get the
namefield - Read the corresponding .asmdef.meta to get the
guidfield - Build a GUID → Name lookup table
3. Parse Dependency Relationships
For each .asmdef:
- Read the GUIDs in the
referencesarray - Convert to human-readable names via the lookup table
- Record:
ModuleA → [depends on ModuleB, depends on ModuleC]
4. Output Mermaid Dependency Graph
Generate a Mermaid flowchart, arranged by layer from top to bottom:
```mermaid
graph TD
subgraph "Layer 0"
Core
end
subgraph "Layer 1"
Player
AI
end
subgraph "Layer 2"
UI
Networking
end
Player --> Core
AI --> Core
UI --> Player
Networking --> Core
```
- Normal dependencies: solid arrow
--> - Circular dependencies: red dashed
-.->|cycle| - Layer violations: orange bold
==>|violation|
5. Output Dependency Matrix
Use a table to show module-to-module dependencies at a glance:
| Module ↓ Depends on → | Core | Player | AI | UI | ... |
|------------------------|:----:|:------:|:--:|:--:|:---:|
| Core | - | | | | |
| Player | ✓ | - | | | |
| AI | ✓ | | - | | |
| UI | | ✓ | | - | |
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.
- 3d ago First seen · 113 lines · 16 tokens per session scan A 9ae1b899e035
deps is a skill published in the GitHub repository tykisgod/quick-question (11 stars, last pushed 9d ago), licensed MIT. It adds 16 tokens to every session and 913 once invoked, about $0.0001 per session on Opus 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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