insyra: Skill for Claude Code

.claude/skills/openspec-propose/SKILL.md

openspec-propose is a skill for Claude Code from HazelnutParadise/insyra. It costs 47 tokens per session (1,230 once invoked), scanned A, a copy of openspec-propose, MIT.

A workflow helper for OpenSpec that creates a complete proposal for a software change. The proposal includes what and why, a design describing how it should work, and implementation tasks.

In plain words
What is it for?
Use it when proposing a new change, generating its proposal, design, and task list, and preparing it for implementation.
Why use it?
It turns a feature or fix description into a structured plan, so implementation can start with the needed documents already prepared.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

This is HazelnutParadise/insyra's own configuration. It tells Claude Code how to work on insyra itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything insyra configures →

Reuse

Borrowing it

Nothing to install: this file belongs to HazelnutParadise/insyra. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/HazelnutParadise/insyra/main/.claude/skills/openspec-propose/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/HazelnutParadise/insyra

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 openspec-propose

README.md
[![agentmods](https://agentmods.dev/badge/skills/hazelnutparadise/insyra/openspec-propose.svg)](https://agentmods.dev/skills/hazelnutparadise/insyra/openspec-propose)
Your own site
<a href="https://agentmods.dev/skills/hazelnutparadise/insyra/openspec-propose"><img src="https://agentmods.dev/badge/skills/hazelnutparadise/insyra/openspec-propose.svg" alt="Measured on agentmods" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,230 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 100% copy Near-identical to another mod 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 $0.00047 $0.01230
Opus 5 $0.00023 $0.00615
Sonnet 5 $0.00009 $0.00246
Haiku 4.5 $0.00005 $0.00123

Measured 8d ago against content hash a666b2381a7d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

openspec-propose 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.

Origin

This is a copy

100% identical to openspec-propose — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/openspec-propose/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Propose a new change - create the change and generate all artifacts in one step.

I'll create a change with artifacts:

  • proposal.md (what & why)
  • design.md (how)
  • tasks.md (implementation steps)

When ready to implement, run /opsx:apply


Store selection: If the user names a store (a store is a standalone OpenSpec repo registered on this machine) or the work lives in one, run openspec store list --json to discover registered store ids, then pass --store <id> on the commands that read or write specs and changes (new change, status, instructions, list, show, validate, archive, doctor, context). Other commands do not take the flag. Hints printed by commands already carry the flag; keep it on follow-ups. Without a store, commands act on the nearest local openspec/ root.

Input: The user's request should include a change name (kebab-case) OR a description of what they want to build.

Steps

  1. If no clear input provided, ask what they want to build

    Use the AskUserQuestion tool (open-ended, no preset options) to ask:

    "What change do you want to work on? Describe what you want to build or fix."

    From their description, derive a kebab-case name (e.g., "add user authentication" → add-user-auth).

    IMPORTANT: Do NOT proceed without understanding what the user wants to build.

  2. Create the change directory

    openspec new change "<name>"
    

    This creates a scaffolded change in the planning home resolved by the CLI with .openspec.yaml.

  3. Get the artifact build order

    openspec status --change "<name>" --json
    

    Parse the JSON to get:

    • applyRequires: array of artifact IDs needed before implementation (e.g., ["tasks"])
    • artifacts: list of all artifacts with their status and dependencies
    • planningHome, changeRoot, artifactPaths, and actionContext: path and scope context. Use these instead of assuming repo-local paths.
  4. Create artifacts in sequence until apply-ready

    Use the TodoWrite tool to track progress through the artifacts.

    Loop through artifacts in dependency order (artifacts with no pending dependencies first):

    a. For each artifact that is ready (dependencies satisfied):

    • Get instructions:
      openspec instructions <artifact-id> --change "<name>" --json
      
    • The instructions JSON includes:
      • context: Project background (constraints for you - do NOT include in output)
      • rules: Artifact-specific rules (constraints for you - do NOT include in output)
      • template: The structure to use for your output file
      • instruction: Schema-specific guidance for this artifact type
      • resolvedOutputPath: Resolved path or pattern to write the artifact
      • dependencies: Completed artifacts to read for context
    • Read any completed dependency files for context
    • Create the artifact file using template as the structure and write it to resolvedOutputPath
    • Apply context and rules as constraints - but do NOT copy them into the file
    • Show brief progress: "Created "

    b. Continue until all applyRequires artifacts are complete

    • After creating each artifact, re-run openspec status --change "<name>" --json
    • Check if every artifact ID in applyRequires has status: "done" in the artifacts array
    • Stop when all applyRequires artifacts are done

    c. If an artifact requires user input (unclear context):

    • Use AskUserQuestion tool to clarify
    • Then continue with creation
  5. Show final status

    openspec status --change "<name>"
    

Output

After completing all artifacts, summarize:

  • Change name and location
  • List of artifacts created with brief descriptions
  • What's ready: "All artifacts created! Ready for implementation."
  • Prompt: "Run /opsx:apply or ask me to implement to start working on the tasks."

Read the full file on GitHub · 115 lines

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 · 115 lines · 47 tokens per session scan A a666b2381a7d

Subscribe to this mod's changes

openspec-propose is a skill published in the GitHub repository HazelnutParadise/insyra (56 stars, last pushed today), licensed MIT. It adds 47 tokens to every session and 1,230 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to openspec-propose, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

data-science-experimentation

Use this skill when designing experiments, A/B tests, multi-armed bandits, randomized controlled trials, statistical hypothesis tests, sample size calculations, experiment design, power analysis, or causal inference for product changes. This skill enforces: rigorous experiment design with pre-registered hypotheses…

j4flmao/agent-skills · 112 tokens

data-science-statistical-analysis

Use this skill when performing statistical analysis, hypothesis testing, regression analysis, time series forecasting, Bayesian inference, descriptive statistics, data exploration, or any general statistical modeling. This skill enforces: proper data exploration before modeling, assumption checking, effect size…

j4flmao/agent-skills · 103 tokens

Jupyter Live Kernel

Guides notebook-first analysis with reproducible kernels, inspectable data loading, and explicit promotion paths back into durable code.

agentic-in/elephant-agent · 29 tokens

ast-grep

Guide for writing ast-grep rules to perform structural code search and analysis. Use when users need to search codebases using Abstract Syntax Tree (AST) patterns, find specific code structures, or perform complex code queries that go beyond simple text search. This skill should be used when users ask to search for…

JanDeDobbeleer/oh-my-posh · 80 tokens

pinchtab-mcp

Use this skill when a task requires browser automation through PinchTab's MCP server connected to a remote browser instance. Covers navigation, element interaction, data extraction, form filling, multi-step flows, and session management via MCP tools.

pinchtab/pinchtab · 52 tokens

pinchtab-stealth-score

Run the PinchTab stealth-score sweep against 15 bot-detection / fingerprint sites (sannysoft, rebrowser, deviceandbrowserinfo, iphey, whoer, browserscan, pixelscan, fingerprint-scan, incolumitas, fvision, amiunique, browserleaks, creepjs, coveryourtracks, fingerprint-demo). Starts a Docker PinchTab container per…

pinchtab/pinchtab · 168 tokens