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 redhat-community-ai-tools/UnifAI --skill temporal-workergit clone --depth 1 https://github.com/redhat-community-ai-tools/UnifAIWrote 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/redhat-community-ai-tools/unifai/temporal-worker)<a href="https://agentmods.dev/skills/redhat-community-ai-tools/unifai/temporal-worker"><img src="https://agentmods.dev/badge/skills/redhat-community-ai-tools/unifai/temporal-worker/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/redhat-community-ai-tools/unifai/temporal-worker"><img src="https://agentmods.dev/badge/skills/redhat-community-ai-tools/unifai/temporal-worker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00036 | $0.01431 |
| Opus 5 | $0.00018 | $0.00715 |
| Sonnet 5 | $0.00007 | $0.00286 |
| Haiku 4.5 | $0.00004 | $0.00143 |
Grade A, and why
temporal-worker-knowledge 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 10d 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 — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Temporal Worker Knowledge System
Distributed workflow execution service for MAS agent sessions. Shares the multi-agent/
codebase — Temporal workflows and activities are adapters wrapping MAS domain services.
For domain logic, load the MAS domain skill (../multi-agent/SKILL.md).
Role
- Executes agent session workflows via Temporal (durable, crash-recoverable)
- Runs distributed graph execution across workers
- Handles workflow lifecycle (start, signal, cancel, timeout)
- Provides Temporal replay guarantees for long-running agent sessions
Key Files
| File | Role |
|---|---|
adapters/inbound/temporal/worker.py |
Worker registration: workflows + activities |
adapters/inbound/temporal/workflows/session_workflow.py |
SessionWorkflow — top-level lifecycle |
adapters/inbound/temporal/workflows/graph_traversal_workflow.py |
GraphTraversalWorkflow — BSP supersteps |
adapters/inbound/temporal/activities/graph_node_activities.py |
GraphNodeActivities — execute one node |
adapters/inbound/temporal/activities/session_lifecycle_activities.py |
Begin/complete/fail transitions |
lib/mas/engine/distributed/node_executor.py |
NodeExecutor — materializes mini-blueprint, runs node |
lib/mas/engine/distributed/traversal.py |
GraphTraversal — BSP superstep algorithm |
lib/mas/session/execution/lifecycle_handler.py |
BackgroundLifecycleHandler — thin adapter for activities |
Workflow Structure
Temporal Server → dispatch → SessionWorkflow (parent)
→ begin_session activity
→ GraphTraversalWorkflow (child) — BSP supersteps:
→ plan: which nodes are ready?
→ execute_graph_node activities (parallel per node)
→ evaluate_condition activities
→ merge results → repeat
→ complete_session / fail_session activity
Activities (Temporal adapters)
| Activity | Class | Purpose |
|---|---|---|
execute_graph_node |
GraphNodeActivities |
Run one node via NodeExecutor |
evaluate_condition |
GraphNodeActivities |
Check edge conditions |
begin_session |
SessionLifecycleActivities |
Session status → RUNNING |
complete_session |
SessionLifecycleActivities |
Session status → COMPLETED |
fail_session |
SessionLifecycleActivities |
Session status → FAILED |
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.
- 10d ago First seen · 162 lines · 36 tokens per session scan A 6ebb52c2419d
temporal-worker-knowledge is a skill published in the GitHub repository redhat-community-ai-tools/UnifAI (44 stars, last pushed yesterday), licensed Apache-2.0. It adds 36 tokens to every session and 1,431 once invoked, about $0.0002 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.
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