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 skills add ngocsangyem/MeowKit --skill jira-searchgit clone --depth 1 https://github.com/ngocsangyem/MeowKitWrote 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/ngocsangyem/meowkit/jira-search)<a href="https://agentmods.dev/skills/ngocsangyem/meowkit/jira-search"><img src="https://agentmods.dev/badge/skills/ngocsangyem/meowkit/jira-search/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/ngocsangyem/meowkit/jira-search"><img src="https://agentmods.dev/badge/skills/ngocsangyem/meowkit/jira-search.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 | $0.00080 | $0.00547 |
| Opus 5 | $0.00040 | $0.00273 |
| Sonnet 5 | $0.00016 | $0.00109 |
| Haiku 4.5 | $0.00008 | $0.00055 |
Grade A, and why
mk:jira-search 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.
What it actually says
mk:jira-search
Forks to the jira-search agent. JQL is positional on search query and search validate; flags everywhere else. The agent enforces JQL sanitization for any user-derived term via ../jira/scripts/jql-sanitize.sh.
Triggers
- "search jira for ..."
- "find issues where assignee = me and sprint is open"
- "build a jql for ..."
- "export the search to /tmp/out.csv"
- "list / create / update / delete a saved filter"
Examples
- "find unresolved bugs in PROJ created in the last 7 days, top 20"
- "validate this jql: project = PROJ AND status = 'In Progress'"
- "save a filter named 'My open bugs' with this jql: ..."
See also
- Agent:
../../agents/jira-search.md - Shared:
../jira/references/{install-and-auth,cli-idioms,safety-framework}.md - Domain refs:
references/jql-patterns.md— canonical JQL templates (curated)references/jql-reference.md— full JQL operator + function referencereferences/search-examples.md— practical query examples per scenario
- Peer leaves:
mk:jira-bulk(write-side bulk by JQL — same dry-run discipline),mk:jira-time(time-related JQL → seemk:jira-time/references/jql-snippets.md)
Gotchas
- (none yet — grow from observed failures)
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 56 lines · 80 tokens per session scan A ea22a149ae93
mk:jira-search is a skill published in the GitHub repository ngocsangyem/MeowKit (14 stars, last pushed 1mo ago), licensed MIT. It adds 80 tokens to every session and 547 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 2026-09-03.
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