Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/wangke19/gemini-ai-helpersnpx agentmods add commands/wangke19/gemini-ai-helpers/list-regressionsWrote 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/list-regressions)<a href="https://agentmods.dev/commands/wangke19/gemini-ai-helpers/list-regressions"><img src="https://agentmods.dev/badge/commands/wangke19/gemini-ai-helpers/list-regressions/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/list-regressions"><img src="https://agentmods.dev/badge/commands/wangke19/gemini-ai-helpers/list-regressions.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 | $0.00010 | $0.03112 |
| Opus 5 | $0.00005 | $0.01556 |
| Sonnet 5 | $0.00002 | $0.00622 |
| Haiku 4.5 | $0.00001 | $0.00311 |
Grade A, and why
list-regressions 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 — 342 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Name
teams:list-regressions
Synopsis
/teams:list-regressions <release> [--components comp1 comp2 ...] [--start YYYY-MM-DD] [--end YYYY-MM-DD]
Description
The teams:list-regressions command fetches regression data for a specified OpenShift release and returns raw regression details without performing any summarization or analysis. It provides complete regression information including test names, timestamps, triages, and metadata.
This command is useful for:
- Fetching raw regression data for further processing
- Accessing complete regression details for specific components
- Building custom analysis workflows
- Providing data to other commands (like
summarize-regressionsandanalyze) - Exporting regression data for offline analysis
- Investigating specific test failures across releases
Implementation
-
Verify Prerequisites: Check that Python 3 is installed
- Run:
python3 --version - Verify version 3.6 or later is available
- Run:
-
Parse Arguments: Extract release version and optional filters from arguments
- Release format: "X.Y" (e.g., "4.17", "4.21")
- Optional filters:
--components: Space-separated list of component search strings (fuzzy match)--start: Start date for filtering (YYYY-MM-DD)--end: End date for filtering (YYYY-MM-DD)--short: Exclude regression arrays from output (only summaries)
-
Resolve Component Names: Use fuzzy matching to find actual component names
- Run list_components.py to get all available components:
python3 extensions/component-health/skills/list-components/list_components.py --release <release> - If
--componentswas provided:- For each search string, find all components containing that string (case-insensitive)
- Example: "network" matches "Networking / ovn-kubernetes", "Networking / DNS", etc.
- Combine all matches into a single list
- Remove duplicates
- If no matches found for a search string, warn the user and show available components
- If
--componentswas NOT provided:- Use all available components from the list
- Run list_components.py to get all available components:
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 · 342 lines · 10 tokens per session scan A f858bf84f5e3
list-regressions is a command published in the GitHub repository wangke19/gemini-ai-helpers (2 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 10 tokens to every session and 3,112 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 2026-09-03.
Other commands, from other repositories
red-team
description: "Red team AI system for vulnerabilities".
integration-test-cycle
Self-iterating integration test workflow with codebase exploration, test development, autonomous test-fix cycles, and reflection-driven strategy adjustment.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.