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 agents/redhat-developer/rhdh-skills/issue-trackergit clone --depth 1 https://github.com/redhat-developer/rhdh-skillsWhat 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 | $0.00000 | $0.00283 |
| Opus 5 | $0.00000 | $0.00142 |
| Sonnet 5 | $0.00000 | $0.00057 |
| Haiku 4.5 | $0.00000 | $0.00028 |
Grade A, and why
issue-tracker 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.
This is a copy
83% identical to issue-tracker — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Issue tracker: GitHub
Issues and PRDs for this repo live as GitHub issues. Use the gh CLI for all operations.
Conventions
- Create an issue:
gh issue create --title "..." --body "...". Use a heredoc for multi-line bodies. - Read an issue:
gh issue view <number> --comments, filtering comments byjqand also fetching labels. - List issues:
gh issue list --state open --json number,title,body,labels,comments --jq '[.[] | {number, title, body, labels: [.labels[].name], comments: [.comments[].body]}]'with appropriate--labeland--statefilters. - Comment on an issue:
gh issue comment <number> --body "..." - Apply / remove labels:
gh issue edit <number> --add-label "..."/--remove-label "..." - Close:
gh issue close <number> --comment "..."
Infer the repo from git remote -v — gh does this automatically when run inside a clone.
When a skill says "publish to the issue tracker"
Create a GitHub issue.
When a skill says "fetch the relevant ticket"
Run gh issue view <number> --comments.
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 · 23 lines · 0 tokens per session scan A f0e138631d1f
issue-tracker is an agent published in the GitHub repository redhat-developer/rhdh-skills (16 stars, last pushed 5d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 283 tokens. A static security scan graded it A with 0 findings. It is 83% identical to issue-tracker, differing in 4 lines, and is treated as a copy.
Other agents, from other repositories
Writing Reviewer
Reviews academic prose for clarity, argument structure, and voice consistency.
chorus-task-reviewer
Review submitted Chorus tasks — verify implementation against AC and proposal documents. Spawn via the blocking subagent tool after chorussubmitforverify.
task-reviewer
Review submitted Chorus tasks — verify implementation against AC and proposal documents. Spawn after chorussubmitforverify.
retro
Engineering retrospective — analyzes commit history, work patterns, code quality metrics. Per-person breakdowns, shipping streaks, actionable improvements. READ-ONLY, never modifies code.
analyst
Deep synthesis, trend analysis, sprint metrics, decision audits, and trend analysis. Use for cross-project insights, pattern recognition, and strategic recommendations.
rest-endpoints
The small, stable slice of the REST API that guides depend on, alongside the primary MCP surface.