mk:jira-estimator

mk:jira-estimator is a skill for Claude Code from ngocsangyem/MeowKit. It costs 69 tokens per session (509 once invoked), scanned A, original, MIT.

A read-only Jira tool that estimates the relative size of one ticket using story points, which compare effort and complexity rather than measuring hours directly.

In plain words
What is it for?
Use it to estimate a Jira issue, request a story-point range, or refine an estimate using an existing complexity analysis.
Why use it?
It gives a consistent starting estimate without changing the ticket or pretending the estimate is an exact duration.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: agent in frontmatter.

Good fit Use it to estimate a Jira issue, request a story-point range, or refine an estimate using an existing complexity analysis.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ngocsangyem/meowkit/jira-estimator
Install

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.

Any agent
npx skills add ngocsangyem/MeowKit --skill jira-estimator
Clone the repo
git clone --depth 1 https://github.com/ngocsangyem/MeowKit

Made for: Claude Code.

Wrote 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.

agentmods badge for mk:jira-estimator

README.md
[![agentmods](https://agentmods.dev/badge/skills/ngocsangyem/meowkit/jira-estimator/github.svg)](https://agentmods.dev/skills/ngocsangyem/meowkit/jira-estimator)
Your own site
<a href="https://agentmods.dev/skills/ngocsangyem/meowkit/jira-estimator"><img src="https://agentmods.dev/badge/skills/ngocsangyem/meowkit/jira-estimator/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.

agentmods 80×15 button for mk:jira-estimator

Your own site · 80×15
<a href="https://agentmods.dev/skills/ngocsangyem/meowkit/jira-estimator"><img src="https://agentmods.dev/badge/skills/ngocsangyem/meowkit/jira-estimator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 509 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00069 $0.00509
Opus 5 $0.00034 $0.00254
Sonnet 5 $0.00014 $0.00102
Haiku 4.5 $0.00007 $0.00051

Measured 8d ago against content hash 13c4d0f66741, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

mk:jira-estimator 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 8d 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.

.claude/skills/jira-estimator/SKILL.md · 51 lines

What it actually says

mk:jira-estimator

Forks to the jira-estimator agent. Read-only heuristic estimation. If a prior mk:jira-evaluator report exists at tasks/reports/jira-evaluate-*-{KEY}.md, the agent reads it and incorporates the complexity signals.

Triggers

  • "estimate PROJ-123"
  • "story points for PROJ-123"
  • "how complex is PROJ-123 in points?"

Examples

  • Cold estimate: "estimate PROJ-456 — give me a Fibonacci range and reasoning."
  • Post-evaluate: "I just evaluated PROJ-456; now estimate it."

See also

  • Agent: ../../agents/jira-estimator.md
  • Shared: ../jira/references/{install-and-auth,cli-idioms,safety-framework,estimation-guide}.md
  • Domain refs (cross-link, lives under jira-time):
    • ../jira-time/references/estimation-guide.md — story-point vs hours-based estimation tradeoffs
  • Peer intelligence: mk:jira-evaluator (run first for complexity signals), mk:jira-analyst (full ticket synthesis)
  • Peer execution: mk:jira-issue (update --custom-fields '{"customfield_10016": N}' writes the estimate), mk:jira-fields (discover instance-specific story-points field ID), mk:planning-engine (capacity analysis)

Gotchas

  • (none yet)
Changes

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.

  1. 8d ago First seen · 51 lines · 69 tokens per session scan A 13c4d0f66741

Subscribe to this mod's changes

mk:jira-estimator is a skill published in the GitHub repository ngocsangyem/MeowKit (14 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 509 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 2026-09-03.

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