Borrowing it
Nothing to install: this file belongs to opensupplyhub/open-supply-hub. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/opensupplyhub/open-supply-hub/main/.agent/skills/qa-checklist-qality/SKILL.mdgit clone --depth 1 https://github.com/opensupplyhub/open-supply-hubWrote 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/opensupplyhub/open-supply-hub/qa-checklist-qality)<a href="https://agentmods.dev/skills/opensupplyhub/open-supply-hub/qa-checklist-qality"><img src="https://agentmods.dev/badge/skills/opensupplyhub/open-supply-hub/qa-checklist-qality/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/opensupplyhub/open-supply-hub/qa-checklist-qality"><img src="https://agentmods.dev/badge/skills/opensupplyhub/open-supply-hub/qa-checklist-qality.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 | $0.00073 | $0.02194 |
| Opus 5 | $0.00036 | $0.01097 |
| Sonnet 5 | $0.00015 | $0.00439 |
| Haiku 4.5 | $0.00007 | $0.00219 |
Grade A, and why
qa-checklist-qality 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 11d 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 — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QA Checklist & QAlity Test Case
Generate a compact QA checklist from Jira + PR context, then push it into the linked QAlity Test issue when requested.
When to use
- User shares a Jira story and/or GitHub PR(s) and wants a QA checklist
- User wants each item as what to test? — expected result
- User asks to update a QAlity Test issue (
issuetype: QAlity Test) with test steps - User mentions change list, OSDEV-####, or test cycle (Passes/Failed/Blocked)
Inputs to collect
| Input | Required | Example |
|---|---|---|
| Jira story key/URL | Yes | OSDEV-1149 |
| GitHub PR URL(s) | If available | opensupplyhub/open-supply-hub#1094 |
| QAlity Test key/URL | If updating Jira | OSDEV-3013 |
| Environment notes | Optional | reindex required, Test vs Staging |
Workflow
1. Gather context
Jira story (Atlassian MCP):
getJiraIssue
cloudId: ce4a9d75-c0aa-460b-92fa-28cb0a11baa6
issueIdOrKey: <STORY_KEY>
fields: summary, description, comment, issuelinks
responseContentFormat: markdown
Read: user story, acceptance criteria, dev QA notes in comments, linked QAlity Test (tests link).
GitHub PR(s):
- Prefer
gh pr view <num> --repo opensupplyhub/open-supply-hub --json title,body - If
ghis unavailable, useWebFetchon the PR URL
Extract: functional changes, deploy/release steps, null semantics, out-of-scope follow-ups.
2. Write the QA checklist
Use this structure:
- Prerequisites — data/env setup before testing
- AC coverage — one row per acceptance criterion
- Regression — existing behaviour unchanged
- Out of scope — informational; do not block release
Item format (required):
what to test? — expected result
In Jira/QAlity fields:
- Test Step ← what to test?
- Expected Result ← expected result
Keep items actionable (concrete endpoint, UI path, or data condition). Reference legacy APIs or admin UI when they are the source of truth.
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.
- 11d ago First seen · 233 lines · 73 tokens per session scan A 9d03176d4654
qa-checklist-qality is a skill published in the GitHub repository opensupplyhub/open-supply-hub (20 stars, last pushed today), licensed MIT. It adds 73 tokens to every session and 2,194 once invoked, about $0.0004 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 skills, from other repositories
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.
tika-eval-compare
Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".
neuron-evaluation-engineer
Create and run AI evaluations with datasets, assertions, and output drivers in Neuron AI. Use this skill whenever the user mentions evaluation, testing AI systems, creating evaluators, dataset-driven testing, assertion-based validation, or wants to measure AI system performance. Also trigger for tasks involving…
jetson-validate-image
Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.
atmos-validation
Validate Atmos projects, components, arbitrary JSON Schema inputs, EditorConfig, and GitHub Actions; use affected-file selection and native CI annotations.
skill-benchmark
Benchmark AI skill effectiveness by measuring implementation quality against legacy constraints.