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 yarlson/yarstack --skill jira-issue-refinegit clone --depth 1 https://github.com/yarlson/yarstackWrote 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/yarlson/yarstack/jira-issue-refine)<a href="https://agentmods.dev/skills/yarlson/yarstack/jira-issue-refine"><img src="https://agentmods.dev/badge/skills/yarlson/yarstack/jira-issue-refine/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/yarlson/yarstack/jira-issue-refine"><img src="https://agentmods.dev/badge/skills/yarlson/yarstack/jira-issue-refine.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 | $0.00063 | $0.01271 |
| Opus 5.5 | $0.00025 | $0.00508 |
| Sonnet 5.5 | $0.00013 | $0.00254 |
| Haiku 4.5 | $0.00006 | $0.00127 |
Grade A, and why
jira-issue-refine 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Jira Issue Refinement
Turn one issue into a concise contract that an engineer or coding agent can implement and verify without guessing. Preserve confirmed intent, resolve discoverable facts, and expose decisions that still require a person.
Establish the issue boundary
- Read the complete draft or existing issue, including structured fields, comments, links, attachments, parent or child issues, and user-supplied context when available.
- Identify the affected actor or system, current behavior, required outcome, business or operational reason, and requested issue type.
- Separate confirmed requirements from observations, assumptions, implementation suggestions, and unrelated follow-up ideas. Do not silently promote an engineering suggestion into required behavior.
- Preserve the author's confirmed intent and terminology. Change meaning only when evidence or an explicit user decision requires it.
- Keep Jira access read-only unless the user explicitly authorizes creating or updating an issue. Do not implement the requested product or engineering change under this skill.
Assess what the issue still needs
Check each concern only to the depth material to delivery:
- Behavior: State the observable result, inputs or preconditions, boundaries, failure behavior, and unchanged behavior. Do not reward detail that merely prescribes an implementation.
- Evidence: For a bug, capture observed and expected behavior, reproduction, environment, diagnostics, and regression evidence. For a feature, capture concrete scenarios and constraints. For infrastructure or data work, capture current and target state, ordering, idempotency, recovery, and rollback constraints.
- Ownership: Identify the owning repository and component from authoritative evidence. Record a multi-repository dependency explicitly; do not force uncertain ownership into one repository.
- Verification: Define deterministic evidence that will prove success and important failure or regression behavior. Prefer established repository tests, builds, static checks, and CI. Do not demand a new exact-value test for a simple declarative or version update when native checks already prove the contract.
- Scope: Keep one coherent outcome with a clear completion boundary. Separate an epic, open-ended investigation, rewrite, or independently deliverable changes into linked issues when they do not need one atomic delivery.
- Independence: Expose unresolved product decisions, unavailable inputs, other-team actions, external systems, sequencing, credentials, or access that can block delivery.
- Safety: State relevant trust boundaries, state changes, compatibility constraints, rollout, rollback, and recovery needs. Treat authentication, authorization, tenant isolation, billing, personal data, migrations, public contracts, infrastructure, secrets, and destructive actions conservatively.
- Environment: Confirm that a coding workflow can make the change and obtain credible verification locally or through established CI. Name essential runtimes, services, platforms, test data, or privileged capabilities only when they materially apply.
- Effort: Keep the issue small enough for one focused delivery. Split work whose exploration, implementation, or validation has independent completion boundaries.
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 Changed · -9 lines b94960ba9b56
- 2mo ago First seen · 71 lines · 63 tokens per session scan A 5ee3037a4a0a
jira-issue-refine is a skill published in the GitHub repository yarlson/yarstack (3 stars, last pushed 12d ago), licensed MIT. It adds 63 tokens to every session and 1,271 once invoked, about $0.0003 per session on Opus 5.5. 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.
Other skills, from other repositories
issue-creation
Trigger: issue creation, bug reports, feature requests, or issue approval. Create and triage GitHub issues from repository evidence.
systemic-issue-triage
Trigger: new issue, bug report, triage, backlog, issue flood, community report, root cause, dead-end, blocked user. Attack issues by root class, never one-by-one; fixes must shrink the system, not grow it.
ring:dispatching-workflows
Executing a phased plan in rolling waves where each phase runs as one multi-agent workflow harness: the supervisor elaborates the phase into tasks against the real landed code, launches a workflow that implements with TDD and runs mandatory in-harness review plus an adversarial contrarian pass (and researchers when…
ring:implementing-tasks
Implementing a single planned task (Task N.M.T) end-to-end: selects the right backend agent by language and service type, drives one TDD RED->GREEN turn, then verifies coverage, lint, license headers, runtime, and delivery before handoff. Runs as Gate 0 before ring:reviewing-code. Use to drive ONE task inside an…
ring:managing-dev-cycle
Managing an in-progress development cycle without driving it: status reports phase, epic/gate progress, assertiveness, and elapsed time from current-cycle.json; cancel confirms, marks the cycle cancelled, and writes a partial feedback report. Use when checking the status of, or cancelling, a running dev cycle. Skip…
ring:mapping-feature-relationships
Mapping how features relate and phasing the work: categorizing PRD features, grouping them into domains, charting cross-feature journeys, dependencies, and integration points, and defining the binding Phases that plan.md mirrors one-to-one at Gate 7. Gate 2 of ring:planning-large-features; runs after…