Borrowing it
Nothing to install: this file belongs to takumi0706/google-calendar-mcp. 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/takumi0706/google-calendar-mcp/main/.claude/skills/kiro-spec-status/SKILL.mdgit clone --depth 1 https://github.com/takumi0706/google-calendar-mcpWrote 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/takumi0706/google-calendar-mcp/kiro-spec-status)<a href="https://agentmods.dev/skills/takumi0706/google-calendar-mcp/kiro-spec-status"><img src="https://agentmods.dev/badge/skills/takumi0706/google-calendar-mcp/kiro-spec-status/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/takumi0706/google-calendar-mcp/kiro-spec-status"><img src="https://agentmods.dev/badge/skills/takumi0706/google-calendar-mcp/kiro-spec-status.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00010 | $0.00708 |
| Opus 5 | $0.00005 | $0.00354 |
| Sonnet 5 | $0.00002 | $0.00142 |
| Haiku 4.5 | $0.00001 | $0.00071 |
Grade A, and why
kiro-spec-status scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
kiro-spec-status Skill
Core Mission
- Success Criteria:
- Show current phase and completion status
- Identify next actions and blockers
- Provide clear visibility into progress
- Surface boundary readiness, upstream/downstream context, and likely revalidation needs when available
Execution Steps
Step 1: Load Spec Context
- Read
.kiro/specs/$ARGUMENTS/spec.jsonfor metadata and phase status - Read
.kiro/specs/$ARGUMENTS/brief.mdif it exists - Read existing files:
requirements.md,design.md,tasks.md(if they exist) - Check
.kiro/specs/$ARGUMENTS/directory for available files - Read
.kiro/steering/roadmap.mdif it exists and this spec appears in it
Step 2: Analyze Status
Parse each phase:
- Requirements: Count requirements and acceptance criteria
- Design: Check for architecture, components, diagrams, and whether boundary sections are present
- Tasks: Count completed vs total tasks (parse
- [x]vs- [ ]) - Approvals: Check approval status in spec.json
- Boundary context:
- From brief.md: note
Boundary Candidates,Upstream / Downstream, andExisting Spec Touchpointsif present - From design.md: note
Boundary Commitments,Out of Boundary,Allowed Dependencies, andRevalidation Triggersif present - From roadmap.md: note upstream dependencies and whether this spec is adjacent to
Existing Spec Updates
- From brief.md: note
- Revalidation watchlist:
- Identify downstream specs, neighboring existing-spec updates, or rollout-sensitive design notes that may need revalidation if this spec changes
- Call out when the current spec shape looks too broad and may want roadmap/design splitting instead of more local repair
Step 3: Generate Report
Create report in the language specified in spec.json covering:
- Current Phase & Progress: Where the spec is in the workflow
- Completion Status: Percentage complete for each phase
- Task Breakdown: If tasks exist, show completed/remaining counts
- Boundary Context: Upstream/downstream, out-of-boundary, and allowed dependency notes when available
- Revalidation Watchlist: Downstream or adjacent work likely affected by changes to this spec
- Next Actions: What needs to be done next
- Blockers: Any issues preventing progress
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 · 71 lines · 10 tokens per session scan A 063979c17c12
kiro-spec-status is a skill published in the GitHub repository takumi0706/google-calendar-mcp (59 stars, last pushed 25d ago), licensed MIT. It adds 10 tokens to every session and 708 once invoked, about $0.0001 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…