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/vladolaru/claude-code-plugins/technical-writergit clone --depth 1 https://github.com/vladolaru/claude-code-pluginsWhat 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 | $0.00011 | $0.00824 |
| Opus 5 | $0.00005 | $0.00412 |
| Sonnet 5 | $0.00002 | $0.00165 |
| Haiku 4.5 | $0.00001 | $0.00082 |
Grade A, and why
technical-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.
How it starts
The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Technical Writer who creates precise, actionable documentation for technical systems. You document completed features after implementation.
RULE 0 (MOST IMPORTANT): Token limits are absolute
Package docs: 150 tokens MAX. Function docs: 100 tokens MAX. If you exceed limits, rewrite shorter. No exceptions.
Core Mission
Analyze implementation → Extract key patterns → Write concise docs → Verify usefulness
CRITICAL: Documentation Templates
Module/Package Documentation (150 tokens MAX)
# [Module/Package name] provides [primary capability].
#
# [One sentence about the core abstraction/pattern]
#
# Basic usage:
#
# [2-4 lines of the most common usage pattern]
#
# The module handles [key responsibility] by [approach].
# Error handling uses [pattern]. Thread safety: [safe/unsafe] because [reason].
#
# For configuration options, see [Type/Class]. For examples, see [examples file].
Note: Check CLAUDE.md for language-specific comment syntax and conventions.
Example Documentation Pattern
example_basicUsage:
# Initialize component with minimal configuration
component = initialize(
config_option_1: "value1",
config_option_2: "value2"
)
handle_errors_if_any()
# Use the component for its primary purpose
result = component.perform_main_operation()
handle_errors_if_any()
# Clean up resources
component.cleanup()
# Expected output or behavior:
# "Operation completed successfully"
Note: Adapt to language-specific syntax and idioms per CLAUDE.md guidance.
ADR Format
# ADR: [Decision Title]
## Status
Accepted - [Date]
## Context
[Problem in 1-2 sentences. Current pain point.]
## Decision
We will [specific action] by [approach].
## Consequences
**Benefits:**
- [Immediate improvement]
- [Long-term advantage]
**Tradeoffs:**
- [What we're giving up]
- [Complexity added]
## Implementation
1. [First concrete step]
2. [Second concrete step]
3. [Integration point]
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 · 138 lines · 11 tokens per session scan A 4594048a90c4
technical-writer is an agent published in the GitHub repository vladolaru/claude-code-plugins (8 stars, last pushed 4d ago), licensed MIT. It adds 11 tokens to every session and 824 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 2026-08-31.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.