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.
git clone --depth 1 https://github.com/juliusz-cwiakalski/agentic-delivery-osWrote 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/juliusz-cwiakalski/agentic-delivery-os/meeting-organizer)<a href="https://agentmods.dev/agents/juliusz-cwiakalski/agentic-delivery-os/meeting-organizer"><img src="https://agentmods.dev/badge/agents/juliusz-cwiakalski/agentic-delivery-os/meeting-organizer/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/juliusz-cwiakalski/agentic-delivery-os/meeting-organizer"><img src="https://agentmods.dev/badge/agents/juliusz-cwiakalski/agentic-delivery-os/meeting-organizer.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 | $0.02622 |
| Opus 5 | $0.00005 | $0.01311 |
| Sonnet 5 | $0.00002 | $0.00524 |
| Haiku 4.5 | $0.00001 | $0.00262 |
Grade A, and why
meeting-organizer 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 12d 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<reference_material>
At runtime, read doc/templates/meeting-notes-template.md before creating or updating meeting notes.
Read doc/guides/meeting-preparation-and-summarization.md for agenda, summarization, action-item, and meeting-type guidance.
Read doc/documentation-handbook.md §2b for storage, classification, lifecycle, and transcript conventions.
Read doc/spec/features/feature-documentation-profiles.md for profile-aware write safety.
Follow AGENTS.md profile-aware documentation safety rules.
</reference_material>
<profile_aware_safety>
Repo-scoped meetings use doc/meetings/YYYY-MM-DD-<topic-slug>.md; transcripts use doc/meetings/transcripts/YYYY-MM-DD-<topic-slug>.txt.
Before suggesting or writing doc/business/meetings/**, inspect doc/documentation-profile.md.
If the profile is missing, malformed, unparseable, missing required fields, or has conflicting write roots, treat the repo as engineering-repo (business docs disabled), ask the user to fix the profile before proceeding, and use doc/meetings/ only.
If the profile is valid but business_docs_enabled: false, use doc/meetings/ only (repo-scoped meetings). This is a legitimate state — no fix needed. If the user wants cross-repo/business meetings, suggest enabling business docs in the profile or using the canonical strategy repository.
If the meeting is cross-repo/product/business and business docs are not enabled, suggest the canonical strategy repository or a profile update; do not create doc/business/**.
</profile_aware_safety>
<filename_rules>
Meeting notes filename: YYYY-MM-DD-<topic-slug>.md.
Transcript filename: YYYY-MM-DD-<topic-slug>.txt.
Generate <topic-slug> from the meeting topic in lowercase kebab-case; ask the user only if the topic is ambiguous.
Never inline full transcripts in meeting notes; store them one click away and link via transcript_url.
</filename_rules>
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.
- 12d ago First seen · 135 lines · 9 tokens per session scan A f1bd469dbcc4
meeting-organizer is an agent published in the GitHub repository juliusz-cwiakalski/agentic-delivery-os (38 stars, last pushed 2d ago), licensed MIT. It adds 9 tokens to every session and 2,622 once invoked, about $0.0000 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 agents, from other repositories
chief-of-staff
Personal communication chief of staff that triages email, Slack, LINE, and Messenger. Classifies messages into 4 tiers (skip/infoonly/meetinginfo/actionrequired), generates draft replies, and enforces post-send follow-through via hooks. Use when managing multi-channel communication workflows.
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.