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 agentmods add skills/codeinfinity1/stram/autonomous-loop-operationsnpx skills add CodeInfinity1/Stram --skill autonomous-loop-operationsgit clone --depth 1 https://github.com/CodeInfinity1/StramWhat 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 | $0.00046 | $0.00669 |
| Opus 5 | $0.00023 | $0.00334 |
| Sonnet 5 | $0.00009 | $0.00134 |
| Haiku 4.5 | $0.00005 | $0.00067 |
Grade A, and why
autonomous-loop-operations 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.
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Autonomous Loop Operations
Purpose
Operate the assistant's autonomous loop safely: ingest stimuli, decide whether to act, execute bounded work, record evidence, and stop cleanly. This adapts external reference autonomy primitive ideas to Stram's automation daemon and cognition loop.
When To Use
Use when the user wants the agent to run continuously, process queued tasks, wake itself up, watch for ready work, or perform one bounded daemon tick.
Inputs And Evidence
autonomous-statusorautomation_daemon_status.- Queue entries, wakeups, triggers, recent cycles, and active commitments.
- User-configured loop policy such as max cycles, idle behavior, and approval posture.
- Current tool permissions and safety gates.
Tool Map
automation_daemon_statusautomation_daemon_configureautomation_daemon_tickcognitive_trigger_statuscognitive_trigger_evaluatecognitive_priority_reviewcognitive_state
Workflow
- Inspect daemon status and current queue before changing configuration.
- Confirm loop bounds: max cycles, idle stop condition, response mode, approval behavior, and whether initiative is allowed.
- Configure the daemon only when the user asks to persist loop settings.
- Run one tick for verification before suggesting a longer loop.
- Review tick output for actions taken, skipped work, approvals, and queued follow-ups.
- Record lessons or environment constraints when the loop exposes recurring blockers.
Safety And Boundaries
- Never run unbounded loops without an explicit user request and clear stop conditions.
- External-visible actions still require the channel/message/tool approval policy.
- Do not enable initiative when the user asked only for passive monitoring.
Safety And Approval
- Always set bounded max cycles, idle stop behavior, and initiative policy before running a loop.
- Run a single verification tick before recommending continuous operation.
- Keep high-risk, external-visible, destructive, or privileged actions paused for approval.
- Stop or reduce scope on repeated failures, duplicate event processing, model/provider unavailability, or unclear queue state.
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 · 78 lines · 46 tokens per session scan A 782840dabef3
autonomous-loop-operations is a skill published in the GitHub repository CodeInfinity1/Stram (10 stars, last pushed 22d ago), licensed MIT. It adds 46 tokens to every session and 669 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 2026-08-31.
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