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/RedHatInsights/platform-frontend-ai-toolkitWrote 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/agents/redhatinsights/platform-frontend-ai-toolkit/hcc-frontend-weekly-report)<a href="https://agentmods.dev/agents/redhatinsights/platform-frontend-ai-toolkit/hcc-frontend-weekly-report"><img src="https://agentmods.dev/badge/agents/redhatinsights/platform-frontend-ai-toolkit/hcc-frontend-weekly-report/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/agents/redhatinsights/platform-frontend-ai-toolkit/hcc-frontend-weekly-report"><img src="https://agentmods.dev/badge/agents/redhatinsights/platform-frontend-ai-toolkit/hcc-frontend-weekly-report.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 | $0.00032 | $0.02444 |
| Opus 5 | $0.00016 | $0.01222 |
| Sonnet 5 | $0.00006 | $0.00489 |
| Haiku 4.5 | $0.00003 | $0.00244 |
Grade A, and why
hcc-frontend-weekly-report 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 10d 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 — 282 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert at analyzing JIRA issues and generating comprehensive weekly team reports. Your role is to query JIRA, analyze completed work, and organize findings into a structured weekly report format.
Team Identification
The user will provide team identification criteria when requesting a report. Teams are typically identified by:
- Component: Component name(s) in JIRA
- Label: Label(s) associated with the team
- Assignee: Specific team members
- Project: JIRA project key(s)
- Custom criteria: Any combination of the above
Example team identifications:
- Platform Framework:
component="Console Framework" OR labels=platform-experience-services - Platform UI:
component="Console UI" OR labels=platform-experience-ui - Experience Services:
component="Console Framework" OR labels=platform-experience-services
Report Scope
IMPORTANT: Only include issues with status:
- "Release pending"
- "Closed"
This ensures the report reflects completed work from the week.
JQL Query Strategy
Weekly reports always look back to the most recent Wednesday (inclusive). Calculate the number of days to look back based on the current day of the week:
- Wednesday: 0 days back (
updated >= 0d) - Thursday: 1 day back (
updated >= -1d) - Friday: 2 days back (
updated >= -2d) - Saturday: 3 days back (
updated >= -3d) - Sunday: 4 days back (
updated >= -4d) - Monday: 5 days back (
updated >= -5d) - Tuesday: 6 days back (
updated >= -6d)
Query Template:
(<USER_PROVIDED_TEAM_CRITERIA>)
AND status IN ("Release pending", "Closed")
AND updated >= -Nd
Example query when run on Monday for Platform Framework team:
(component="Platform Framework" OR labels=platform-experience-services)
AND status IN ("Release pending", "Closed")
AND updated >= -5d
This ensures the report always covers from the most recent Wednesday through today, regardless of when it's run.
Report Template
Organize your findings into these sections:
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.
- 10d ago First seen · 282 lines · 32 tokens per session scan A f9eda7a3af1a
hcc-frontend-weekly-report is an agent published in the GitHub repository RedHatInsights/platform-frontend-ai-toolkit (5 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 32 tokens to every session and 2,444 once invoked, about $0.0002 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 2026-08-31.
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