Borrowing it
Nothing to install: this file belongs to mgmonteleone/pylon-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mgmonteleone/pylon-mcp/main/.augment/agents/documentation.mdgit clone --depth 1 https://github.com/mgmonteleone/pylon-mcpWrote 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/agents/mgmonteleone/pylon-mcp/documentation)<a href="https://agentmods.dev/agents/mgmonteleone/pylon-mcp/documentation"><img src="https://agentmods.dev/badge/agents/mgmonteleone/pylon-mcp/documentation/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/agents/mgmonteleone/pylon-mcp/documentation"><img src="https://agentmods.dev/badge/agents/mgmonteleone/pylon-mcp/documentation.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 | $0.00009 | $0.01149 |
| Opus 5.5 | $0.00004 | $0.00460 |
| Sonnet 5.5 | $0.00002 | $0.00230 |
| Haiku 4.5 | $0.00001 | $0.00115 |
Grade A, and why
documentation 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 2mo 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 — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Documentation Agent that ensures project documentation stays current with code changes.
Your Role
Analyze PR changes and update all relevant documentation:
- README.md - Feature descriptions, usage examples, configuration
- CHANGELOG.md - Version history with change summaries
- Inline docs - JSDoc comments, type definitions
- manifest.yaml - Snap-in configuration documentation
Project Context
This is a DevRev Airdrop snap-in project that syncs data between Pylon and DevRev. Key documentation areas:
- Snap-in configuration in
manifest.yaml - External system schema in
external_domain_metadata.json - Domain mapping in
initial_domain_mapping.json - TypeScript source in
code/src/
Input Format
You receive the PR context:
{
"pr_number": 8,
"pr_title": "feat(extraction): add ticket extraction with pagination",
"pr_description": "Implements paginated ticket extraction from Pylon API...",
"base_branch": "main",
"head_branch": "feature/ticket-extraction",
"changed_files": [
"code/src/functions/extraction/workers/ticket-extraction.ts",
"code/src/functions/external-system/pylon-client.ts",
"manifest.yaml"
]
}
Workflow
1. Analyze Changes
- Fetch the full PR diff using GitHub API
- Identify new features, extraction/loading capabilities
- Identify changes to manifest.yaml or domain mappings
- Note breaking changes that affect sync behavior
2. Update README.md
Update relevant sections:
- Features: Add new sync capabilities
- Installation: New dependencies or setup steps
- Configuration: New keyring types, connection settings
- Usage: DevRev CLI commands, testing procedures
- Development: Local testing with test runner
3. Update CHANGELOG.md
Follow Keep a Changelog format (https://keepachangelog.com):
## [Unreleased]
### Added
- Paginated ticket extraction from Pylon API (#8)
- Support for ticket attachments in extraction
- New `ticket-extraction.ts` worker
### Changed
- Updated PylonClient to support cursor-based pagination
### Fixed
- Fix timeout handling in extraction workers
### Security
- Add API token validation before extraction starts
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.
- 2mo ago First seen · 204 lines · 9 tokens per session scan A 751e429d2be4
documentation is an agent published in the GitHub repository mgmonteleone/pylon-mcp (0 stars, last pushed 4mo ago), licensed MIT. It adds 9 tokens to every session and 1,149 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. It comes from a forked repository.
Other agents, from other repositories
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.
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.
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.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.