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 commands/robofinsystems/robosystems/create-issuegit clone --depth 1 https://github.com/RoboFinSystems/robosystemsWhat 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 | $0.00018 | $0.01039 |
| Opus 5 | $0.00009 | $0.00519 |
| Sonnet 5 | $0.00004 | $0.00208 |
| Haiku 4.5 | $0.00002 | $0.00104 |
Grade A, and why
create-issue 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 2d 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create a GitHub issue for the current repository based on the user's input.
Instructions
-
Determine Issue Type - Based on the user's description, pick one:
- Bug: Defects or unexpected behavior
- Task: Specific, bounded work items that can be completed in one PR
- Feature: Request a new capability (no design required)
- RFC: Propose a design for discussion before implementation
- Spec: Approved implementation plan ready for execution
Confirm what this repo actually offers before assuming —
ls .github/ISSUE_TEMPLATE/for the templates andgh issue create --helpfor whether--typeis supported. -
Gather Context - If the user provides a file path or references existing code:
- Read the relevant files to understand the current implementation
- Check related configuration files
- Review any referenced documentation
-
Draft the Issue - Read the matching YAML template in
.github/ISSUE_TEMPLATE/and mirror its structure. Each template declares its owntype:in frontmatter and marks which fields are required — read the file rather than guessing the sections. Fill the optional fields too where you have the information; they're the ones that make an issue actionable later.Note
gh issue create --title/--bodybypasses templates entirely — nothing prefills and nothing validates. That's exactly why the body has to be hand-matched to the template structure. -
Sanitize for Public Visibility - This repo is public and the issue is world-readable immediately. Before creating:
- Remove any internal pricing, margins, or cost details
- Remove specific customer names or data
- Generalize any sensitive business metrics
- For anything security-adjacent, keep the text terse and non-actionable — no exploit mechanics, no affected-endpoint enumerations, no payloads. Detailed root-cause belongs in the private vault, referenced by filename only; for coordinated disclosure use a private GitHub Security Advisory, never a public issue.
- Keep ordinary technical implementation details (these are fine to share)
-
Create the Issue - One command, with the type set inline:
gh issue create \ --type <Bug|Task|Feature|RFC|Spec> \ --title "<clear, concise title>" \ --body-file /tmp/issue-body.md \ --label "<labels>"No prefixes like
[SPEC]in the title — the type handles categorization. Write the body to a file rather than inlining it, to avoid shell-escaping problems.To change the type on an existing issue:
gh issue edit <n> --type <Type>(or--remove-type). The old GraphQLupdateIssuemutation is no longer needed for either case.
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.
- 2d ago First seen · 87 lines · 18 tokens per session scan A dba97cb4f984
create-issue is a command published in the GitHub repository RoboFinSystems/robosystems (24 stars, last pushed 3d ago), licensed Apache-2.0. It adds 18 tokens to every session and 1,039 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.
Other commands, from other repositories
finish-work
Wrap up the current session: archive the active task (and any other completed-but-unarchived tasks the user wants to clean up) and record the session journal. Code commits are NOT done here — those happen in workflow Phase 3.4 before you invoke this command.
os-status
显示AI Team OS系统状态 — 团队、Agent、会议概览.
os-task
AI团队任务管理 — 查看任务墙、创建任务、看任务详情.
os-meeting
快速创建和管理AI团队会议.
wh:dev-feedback
Use when the user wants to file a Wheeler bug or usability issue as a GitHub issue about Wheeler itself.
csm-goals
List, set, or update tracked goals for this project.