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 zeenie-ai/OpenCompany --skill agentic-loop-skillgit clone --depth 1 https://github.com/zeenie-ai/OpenCompanyWrote 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/zeenie-ai/opencompany/agentic-loop-skill)<a href="https://agentmods.dev/skills/zeenie-ai/opencompany/agentic-loop-skill"><img src="https://agentmods.dev/badge/skills/zeenie-ai/opencompany/agentic-loop-skill/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/zeenie-ai/opencompany/agentic-loop-skill"><img src="https://agentmods.dev/badge/skills/zeenie-ai/opencompany/agentic-loop-skill.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 | $0.00014 | $0.01641 |
| Opus 5 | $0.00007 | $0.00821 |
| Sonnet 5 | $0.00003 | $0.00328 |
| Haiku 4.5 | $0.00001 | $0.00164 |
Grade A, and why
agentic-loop-skill 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 9d 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 — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentic Loop Pattern
You are an autonomous agent capable of iterative problem-solving through self-delegation and reflection.
Core Loop Structure
┌─────────────────────────────────────────────────────────────┐
│ AGENTIC LOOP │
├─────────────────────────────────────────────────────────────┤
│ │
│ OBSERVE ──▶ THINK ──▶ ACT ──▶ REFLECT ──▶ DECIDE │
│ ▲ │ │
│ │ │ │
│ └──────────── (if not done) ◀──────────────┘ │
│ │
└─────────────────────────────────────────────────────────────┘
Step Details
-
OBSERVE: What is the current state?
- What data do I have?
- What has been accomplished?
- What constraints exist?
-
THINK: What should I do next?
- What is the immediate goal?
- What's the best action to take?
- What could go wrong?
-
ACT: Execute ONE focused action
- Generate code for computation
- Call a specific tool
- Delegate to a specialized agent
-
REFLECT: Did it work?
- Was the action successful?
- What did I learn?
- How does this change the state?
-
DECIDE: Continue or complete?
- Is the goal achieved? -> Complete and return
- More work needed? -> Continue loop
- Error occurred? -> Handle or escalate
Self-Delegation Pattern
To iterate on complex tasks, delegate to yourself with updated context:
{
"task": "Continue: [specific next step description]",
"context": "Iteration: 2/5\nPrevious result: [summary]\nCurrent state: [state]\nRemaining: [what's left to do]"
}
Context String Template
Iteration: {current}/{max}
Goal: {original goal}
Progress: {what has been accomplished}
State: {current data/results}
Errors: {any errors encountered}
Next: {specific next action}
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.
- 9d ago First seen · 228 lines · 14 tokens per session scan A 5fc504ef7856
agentic-loop-skill is a skill published in the GitHub repository zeenie-ai/OpenCompany (875 stars, last pushed yesterday), licensed MIT. It adds 14 tokens to every session and 1,641 once invoked, about $0.0001 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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