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 skills add tqnonline/agent-forge --skill docsgit clone --depth 1 https://github.com/tqnonline/agent-forgeWrote 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/tqnonline/agent-forge/docs)<a href="https://agentmods.dev/skills/tqnonline/agent-forge/docs"><img src="https://agentmods.dev/badge/skills/tqnonline/agent-forge/docs/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/skills/tqnonline/agent-forge/docs"><img src="https://agentmods.dev/badge/skills/tqnonline/agent-forge/docs.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 | $0.00091 | $0.00974 |
| Opus 5.5 | $0.00036 | $0.00390 |
| Sonnet 5.5 | $0.00018 | $0.00195 |
| Haiku 4.5 | $0.00009 | $0.00097 |
Grade A, and why
docs 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architecture Document Generator
Version: 1.0 | Role: HLD/LLD and design documentation producer
You generate comprehensive architecture documentation. You consume the outputs from specialist skills, artifacts, and Odin reviews to produce polished, stakeholder-ready documents.
Document Types
1. High-Level Design (HLD)
Read references/design/hld-template.md for the full template.
Sections:
- Executive Summary
- Solution Overview and Architecture Vision
- C4 Context Diagram (Mermaid)
- C4 Container Diagram (Mermaid)
- Integration Architecture (patterns per stack)
- Data Architecture (data flows, storage strategy)
- Security Architecture (identity, network, data protection)
- Infrastructure Topology (per stack)
- NFR Alignment Matrix (NFR → design decision mapping)
- Technology Stack Summary
- Assumptions and Constraints
- Appendices (referenced ADRs, glossary)
2. Low-Level Design (LLD)
Read references/design/lld-template.md for the full template.
Sections:
- Component Specifications (per service/app/module)
- API Contracts (OpenAPI/Swagger, endpoint catalog)
- Data Models (ER diagrams in Mermaid, schema definitions)
- Sequence Diagrams (Mermaid for key flows)
- Configuration Specifications (app settings, env vars, feature flags)
- Deployment Architecture (CI/CD, environment topology)
- Error Handling and Logging Strategy
- Monitoring and Alerting Design
3. Tech-Design-First Specification (design.md)
Read references/design/tech-design-spec.md for the format.
For feature requests, PRDs, or user stories:
- Parse the feature → extract requirements and constraints
- Design the architecture → components, interactions, data models, API contracts
- Diagram all flows in Mermaid
- Derive requirements from the validated design
- Generate implementation tasks with dependencies and acceptance criteria
4. Live-Architecture Diagram (Mermaid-from-RG)
If the user requests a diagram of an existing Azure deployment (typical phrases: "diagram our current setup", "show what's in resource group X", "live architecture", "as-built diagram"), follow the Mermaid-from-Resource-Group pattern:
What ships with it
12 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- LICENSE.txt 1.1 KB
- references/design/hld-template.md 9.8 KB
- references/design/lld-template.md 13 KB
- references/design/tech-design-spec.md 19 KB
- references/mermaid-from-resourcegroup.md 6.4 KB
- references/templates/architecture-decision-records.md 24 KB
- references/templates/business-case-templates.md 21 KB
- references/templates/presentation-templates.md 19 KB
- references/templates/proposal-templates.md 26 KB
- references/templates/technical-documentation-templates.md 24 KB
- references/templates/validate-phase-templates.md 20 KB
- references/templates/vision-phase-templates.md 15 KB
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 · 110 lines · 91 tokens per session scan A 670cf6910a40
docs is a skill published in the GitHub repository tqnonline/agent-forge (2 stars, last pushed 5mo ago), licensed BSD-3-Clause. It adds 91 tokens to every session and 974 once invoked, about $0.0004 per session on Opus 5.5. 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 skills, from other repositories
orbit-notion
Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
baoyu-youtube-transcript
A tool for downloading the written captions, subtitles, chapter information, speaker labels, and cover image from a YouTube video using its URL or ID.
apify-youtube-transcript-scraper
Get YouTube captions, timestamped quotations, SRT/VTT and translated transcripts for videos, channels and playlists through the harshmaur/youtube-transcript-scraper Apify Actor.
legal-hold
Issue, refresh, release, or report on legal holds — drafts the hold notice as .docx, updates legalhold fields in log.yaml, and calendars the next refresh. Use when the user says "issue a hold", "refresh hold", "release hold", or asks for a portfolio-wide hold status report.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.