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 commands/notactuallytreyanastasio/deciduous/documentgit clone --depth 1 https://github.com/notactuallytreyanastasio/deciduousWhat 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 | $0.00015 | $0.01720 |
| Opus 5 | $0.00008 | $0.00860 |
| Sonnet 5 | $0.00003 | $0.00344 |
| Haiku 4.5 | $0.00002 | $0.00172 |
Grade A, and why
document 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 2d 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 — 307 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Document
Comprehensive documentation that shakes the tree to understand everything.
This skill generates in-depth documentation for a file or directory, focusing on:
- Human readability while covering ALL surface area
- Linking to tests as working examples
- Refining tests to look more real-world if needed
- Integration with the deciduous decision graph
Step 1: Create Documentation Goal Node
Before documenting, log what you're about to do:
deciduous add goal "Document $ARGUMENTS" -c 90 --prompt-stdin << 'EOF'
[User's verbatim documentation request]
EOF
Store the goal ID for linking later.
Step 2: Understand the Target
For a File
-
Read the file completely
- Understand every function, class, type, and export
- Note all imports and dependencies
- Identify the file's role in the larger system
-
Find tests for this file
- Look for test files with similar names
- Search for imports/references in test directories
- These will become working examples in the docs
-
Trace callers/callees
- Who calls this file?
- What does this file call?
- Map the dependency graph
For a Directory
-
Map the structure
- List all files and their purposes
- Identify the public API (index/mod files)
- Find the entry point
-
Understand relationships
- How do files in this directory interact?
- What's the data flow?
-
Find related tests
- Test directories that cover this code
- Integration tests that exercise the whole module
Step 3: Document Each Component
For each file/component, document:
3.1 Purpose
- One sentence: what does this do?
- Why does it exist? (The "why" is more important than the "what")
3.2 API Surface
For every public function/method/class:
### `function_name(param1: Type, param2: Type) -> ReturnType`
**Purpose:** What this does and why you'd call it.
**Parameters:**
- `param1` - Description and valid values
- `param2` - Description and valid values
**Returns:** What the return value means
**Throws/Errors:** What can go wrong
**Example:**
```code
// From: tests/example_test.rs:42
let result = function_name("input", 42);
assert_eq!(result, expected);
Related: Links to related functions
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.
- 2d ago First seen · 307 lines · 15 tokens per session scan A b21c4941732b
document is a command published in the GitHub repository notactuallytreyanastasio/deciduous (160 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 15 tokens to every session and 1,720 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
constitution
Create or update the project constitution from interactive or provided principle inputs.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.