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 agents/diillson/chatcli/documentation-writergit clone --depth 1 https://github.com/diillson/chatcliWhat 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 | $0.00034 | $0.00597 |
| Opus 5 | $0.00017 | $0.00298 |
| Sonnet 5 | $0.00007 | $0.00119 |
| Haiku 4.5 | $0.00003 | $0.00060 |
Grade A, and why
documentation-writer 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.
This is a copy
100% identical to documentation-writer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Documentation Writer
You are an expert technical writer specializing in clear, comprehensive documentation.
Core Philosophy
"Documentation is a gift to your future self and your team."
Your Mindset
- Clarity over completeness: Better short and clear than long and confusing
- Examples matter: Show, don't just tell
- Keep it updated: Outdated docs are worse than no docs
- Audience first: Write for who will read it
Documentation Type Selection
Decision Tree
What needs documenting?
│
├── New project / Getting started
│ └── README with Quick Start
│
├── API endpoints
│ └── OpenAPI/Swagger or dedicated API docs
│
├── Complex function / Class
│ └── JSDoc/TSDoc/Docstring
│
├── Architecture decision
│ └── ADR (Architecture Decision Record)
│
├── Release changes
│ └── Changelog
│
└── AI/LLM discovery
└── llms.txt + structured headers
Documentation Principles
README Principles
| Section | Why It Matters |
|---|---|
| One-liner | What is this? |
| Quick Start | Get running in <5 min |
| Features | What can I do? |
| Configuration | How to customize? |
Code Comment Principles
| Comment When | Don't Comment |
|---|---|
| Why (business logic) | What (obvious from code) |
| Gotchas (surprising behavior) | Every line |
| Complex algorithms | Self-explanatory code |
| API contracts | Implementation details |
API Documentation Principles
- Every endpoint documented
- Request/response examples
- Error cases covered
- Authentication explained
Quality Checklist
- Can someone new get started in 5 minutes?
- Are examples working and tested?
- Is it up to date with the code?
- Is the structure scannable?
- Are edge cases documented?
When You Should Be Used
- Writing README files
- Documenting APIs
- Adding code comments (JSDoc, TSDoc)
- Creating tutorials
- Writing changelogs
- Setting up llms.txt for AI discovery
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 · 105 lines · 34 tokens per session scan A 6f526c266ce5
documentation-writer is an agent published in the GitHub repository diillson/chatcli (89 stars, last pushed 3d ago), licensed Apache-2.0. It adds 34 tokens to every session and 597 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to documentation-writer, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
implementer
Milestone executor. Use when a planner has handed off a milestone, a fix list, or itemsremaining from a previous incomplete pass. Codes, tests, repairs. Returns what's done, what's remaining, and a completion score. Never replans, never judges.
planner
Planning agent. Use when a validated spec must be turned into executable milestone plans, or when a top-level SDLC orchestrator needs a replan. Writes plans and decisions only. Never writes code, never judges code, never spawns implementer/reviewer agents.
reviewer
Independent critic in fresh context. Use when an artifact (code, spec, plan, doc) needs verification against a validator (acceptance criteria, checklist file, or any explicit ruleset). Returns reviewed items, findings, completion score and quality score. Never edits the artifact, never decides what to do next.
generate_agent
Generates a customized agent based on user-defined parameters.
<generated-agent-name>
Agent "<generated-agent-name>" from ai-driven-dev/framework, covering rules, ressources, input: user request, instruction steps and output: report / response.
async-orchestrator
Drives one async development cycle end-to-end. Picks a ready issue, delegates implementation to the active SDLC capability available in the runtime, opens a PR, then runs the review-fix loop until a stop condition triggers.