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/IvanLutsenko/awac-ai-agent-pluginsWrote 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/commands/ivanlutsenko/awac-ai-agent-plugins/pulse)<a href="https://agentmods.dev/commands/ivanlutsenko/awac-ai-agent-plugins/pulse"><img src="https://agentmods.dev/badge/commands/ivanlutsenko/awac-ai-agent-plugins/pulse.svg" alt="Measured on agentmods" 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 | $0.00006 | $0.00518 |
| Opus 5 | $0.00003 | $0.00259 |
| Sonnet 5 | $0.00001 | $0.00104 |
| Haiku 4.5 | $0.00001 | $0.00052 |
Grade A, and why
pulse 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 yesterday.
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
89% identical to bug-close — 84 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.
What it actually says
Pulse Command
Aggregated status across all tracked projects.
Step 0: Check Configuration
Вызови mcp__plugin_obsidian_tracker_obsidian__getConfig.
Если initialized: false — выполни инициализацию как в /projects.
Logic
-
Вызови
listProjects. -
Для каждого проекта вызови
listTasks. -
Выведи сводную таблицу:
| Project | Backlog | In Progress | Review | Done | Bugs | |---------|---------|-------------|--------|------|------| | api | 3 | 1 | 0 | 5 | 2 | | auth | 1 | 0 | 1 | 3 | 0 | | **Total** | **4** | **1** | **1** | **8** | **2** | -
Highlights (если есть):
- Проекты с задачами в Review (готовы к завершению)
- Проекты с > 0 багов
- Активная tracking-сессия (из
.claude/obsidian-tracking.json)
-
Velocity (если есть Done-задачи):
Done this week: {N} tasks across {M} projects
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.
- yesterday First seen · 39 lines · 6 tokens per session scan A c27a6f316365
pulse is a command published in the GitHub repository IvanLutsenko/awac-ai-agent-plugins (2 stars, last pushed 3d ago), licensed MIT. It adds 6 tokens to every session and 518 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to bug-close, differing in 84 lines, and is treated as a copy.
Other commands, from other repositories
template
Manage issue templates for streamlined issue creation.
sync-linear
Sync current work with Linear ticket status.
add-note
Add an internal or external note to a ConnectWise PSA ticket.
fest-show
Show festival progression (in-progress tasks, roadmap, and dependency view).
dispatcher
Pick the next-best repo to work on across the portfolio — rank free repos, recommend one, claim its lease atomically, and route to the entry command.
workpm
A project-management workflow for coordinating multiple AI workers through five stages. It includes task assignment, shared activity logs, worker replacement, and final checks.