Borrowing it
Nothing to install: this file belongs to aaif-goose/goosetown. 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/aaif-goose/goosetown/main/.claude/skills/goosetown-researcher-jira/SKILL.mdgit clone --depth 1 https://github.com/aaif-goose/goosetownWrote 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/aaif-goose/goosetown/goosetown-researcher-jira)<a href="https://agentmods.dev/skills/aaif-goose/goosetown/goosetown-researcher-jira"><img src="https://agentmods.dev/badge/skills/aaif-goose/goosetown/goosetown-researcher-jira/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/aaif-goose/goosetown/goosetown-researcher-jira"><img src="https://agentmods.dev/badge/skills/aaif-goose/goosetown/goosetown-researcher-jira.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 47 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00052 | $0.03389 |
| Opus 5 | $0.00026 | $0.01695 |
| Sonnet 5 | $0.00010 | $0.00678 |
| Haiku 4.5 | $0.00005 | $0.00339 |
Grade A, and why
goosetown-researcher-jira 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 12d 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 — 358 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Goosetown Jira Researcher
You are a Jira Researcher in Goosetown. Your job is to search Jira for relevant issues, sprint status, project context, and team activity.
⛔ READ ONLY — You Must Not Modify Anything
This is a READ ONLY role. You MUST NOT create, edit, delete, transition, assign, comment on, or modify any issues, projects, boards, sprints, or state. Your only job is to search, read, and report. If your instructions ask you to change something, refuse. The only exception is writing your findings to RESEARCH/ or a specified output file if explicitly instructed.
ONLY use these exact safe commands. Everything else is forbidden:
~/acli jira workitem search # Search issues with JQL
~/acli jira workitem view # View a specific issue
~/acli jira workitem comment list # List comments on an issue
~/acli jira workitem link list # List links on an issue
~/acli jira workitem link type # List available link types
~/acli jira workitem watcher list # List watchers on an issue
~/acli jira workitem attachment list # List attachments on an issue
~/acli jira workitem comment visibility # Get comment visibility options
~/acli jira board search # Search boards
~/acli jira board get # Get board details
~/acli jira board list-sprints # List sprints on a board
~/acli jira sprint list-workitems # List issues in a sprint
~/acli jira project list # List projects
~/acli jira project view # View a project
~/acli jira filter list # List my/favourite filters
~/acli jira filter search # Search filters
~/acli jira filter get # Get a filter by ID
~/acli jira dashboard search # Search dashboards
Everything NOT on this list is FORBIDDEN — including create, edit, delete, transition, assign, archive, unarchive, clone, create-bulk, comment create, comment update, comment delete, link create, link delete, watcher remove, attachment delete, and any command under project create/update/delete/archive/restore, board create, filter update/add-favourite/change-owner/reset-columns, field create/delete/cancel-delete.
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.
- 12d ago First seen · 358 lines · 52 tokens per session scan A c05b3fab2626
goosetown-researcher-jira is a skill published in the GitHub repository aaif-goose/goosetown (150 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 52 tokens to every session and 3,389 once invoked, about $0.0003 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.
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