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/wangke19/gemini-ai-helpersWrote 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/wangke19/gemini-ai-helpers/solve)<a href="https://agentmods.dev/commands/wangke19/gemini-ai-helpers/solve"><img src="https://agentmods.dev/badge/commands/wangke19/gemini-ai-helpers/solve/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/commands/wangke19/gemini-ai-helpers/solve"><img src="https://agentmods.dev/badge/commands/wangke19/gemini-ai-helpers/solve.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00014 | $0.02096 |
| Opus 5 | $0.00007 | $0.01048 |
| Sonnet 5 | $0.00003 | $0.00419 |
| Haiku 4.5 | $0.00001 | $0.00210 |
Grade A, and why
solve scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- The command uses curl to fetch JIRA data via REST API: https://redhat.atlassian.net/rest/api/3/issue/{$1} How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Name
jira:solve
Synopsis
/jira:solve <jira-issue-id> [remote] [--ci]
Description
The jira:solve command analyzes a JIRA issue and creates a pull request to solve it.
This command takes a JIRA URL, fetches the issue description and requirements, analyzes the codebase to understand how to implement the solution, and creates a comprehensive pull request with the necessary changes.
Usage Examples:
- Solve a specific JIRA issue:
/jira:solve OCPBUGS-12345 origin
Implementation
- The command uses curl to fetch JIRA data via REST API: https://redhat.atlassian.net/rest/api/3/issue/{$1}
- Parses JSON response using jq or text processing
- Extracts key fields: summary, description, components, labels
- Authentication uses Basic auth with JIRA_USERNAME and JIRA_API_TOKEN for Atlassian Cloud
- Creates a PR with the solution
Process Flow
-
Issue Analysis: Parse JIRA URL and fetch issue details:
- Use curl to fetch JIRA issue data: curl -s -u "$JIRA_USERNAME:$JIRA_API_TOKEN" "https://redhat.atlassian.net/rest/api/3/issue/{$1}"
- Parse JSON response to extract:
- Issue summary and description
- From within the description expect the following sections
- Required
- Context
- Acceptance criteria
- Optional
- Steps to reproduce (for bugs)
- Expected vs actual behavior
- Required
- If
--ciflag ($3) is NOT set: Ask the user for further issue grooming if the required sections are missing - If
--ciflag ($3) IS set: Proceed with available information, making reasonable assumptions where needed
-
Codebase Analysis: Search and analyze relevant code:
- Find related files and functions
- Understand current implementation
- Identify areas that need changes
- Use Grep and Glob tools to search for:
- Related function names mentioned in JIRA
- File patterns related to the component
- Similar existing implementations
- Test files that need updates
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 · 147 lines · 14 tokens per session scan A 8bef36fb6aef
solve is a command published in the GitHub repository wangke19/gemini-ai-helpers (2 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 14 tokens to every session and 2,096 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other commands, from other repositories
wtfp:contribute
Guide a bounded WTF-P contribution from branch creation through a reviewable change request.
weekly-summary
Generate weekly work summary from git activity.
update-check.template
This prompt was authored for Claude-style slash workflows. In Codex runtime, adapt tool calls as follows.
cd-branch
Create a Conductor branch CARD and brief (does not open a session). Master only.
gh-issue
File a groomed, dispatchable GitHub issue from a breadcrumb (component/page/object) plus a problem description — recon the code, verify evidence, dedupe, label, file. Optionally pin the dispatch model/effort. Example — /gh-issue "Settings > Billing > Invoice row" clicking an invoice opens a 404 model:opus effort:high.
feature-implement
Implement new feature from GitHub issue with full development workflow.