openspec-apply-change

Instructions for carrying out tasks described in an OpenSpec change. OpenSpec is a project workflow that organizes a proposed change into documents such as a design, specification, and task list.

In plain words
What is it for?
Selecting an OpenSpec change, reviewing its status and supporting files, implementing its tasks in order, and recording completion.
Why use it?
Starting implementation without selecting the right change or reading its current status can lead to work on the wrong requirements. This skill provides the steps for choosing a change, loading its instructions, and tracking progress.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/halo-dev/cli/openspec-apply-change
Any agent
npx skills add halo-dev/cli --skill openspec-apply-change
Clone the repo
git clone --depth 1 https://github.com/halo-dev/cli

Made for: Claude Code, Codex.

Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,114 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 86% 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 $0.00031 $0.01114
Opus 5 $0.00015 $0.00557
Sonnet 5 $0.00006 $0.00223
Haiku 4.5 $0.00003 $0.00111

Measured 2d ago against content hash 679533b52454, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

openspec-apply-change 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 2d 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

86% identical to openspec-apply-change — 5 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-apply-change/SKILL.md · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implement tasks from an OpenSpec change.

Input: Optionally specify a change name. If omitted, check if it can be inferred from conversation context. If vague or ambiguous you MUST prompt for available changes.

Steps

  1. Select the change

    If a name is provided, use it. Otherwise:

    • Infer from conversation context if the user mentioned a change
    • Auto-select if only one active change exists
    • If ambiguous, run openspec list --json to get available changes and use the AskUserQuestion tool to let the user select

    Always announce: "Using change: " and how to override (e.g., /opsx:apply <other>).

  2. Check status to understand the schema

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

    Parse the JSON to understand:

    • schemaName: The workflow being used (e.g., "spec-driven")
    • Which artifact contains the tasks (typically "tasks" for spec-driven, check status for others)
  3. Get apply instructions

    openspec instructions apply --change "<name>" --json
    

    This returns:

    • contextFiles: artifact ID -> array of concrete file paths (varies by schema - could be proposal/specs/design/tasks or spec/tests/implementation/docs)
    • Progress (total, complete, remaining)
    • Task list with status
    • Dynamic instruction based on current state

    Handle states:

    • If state: "blocked" (missing artifacts): show message, suggest using openspec-continue-change
    • If state: "all_done": congratulate, suggest archive
    • Otherwise: proceed to implementation
  4. Read context files

    Read every file path listed under contextFiles from the apply instructions output. The files depend on the schema being used:

    • spec-driven: proposal, specs, design, tasks
    • Other schemas: follow the contextFiles from CLI output
  5. Show current progress

    Display:

    • Schema being used
    • Progress: "N/M tasks complete"
    • Remaining tasks overview
    • Dynamic instruction from CLI
  6. Implement tasks (loop until done or blocked)

    For each pending task:

    • Show which task is being worked on
    • Make the code changes required
    • Keep changes minimal and focused
    • Mark task complete in the tasks file: - [ ]- [x]
    • Continue to next task

    Pause if:

    • Task is unclear → ask for clarification
    • Implementation reveals a design issue → suggest updating artifacts
    • Error or blocker encountered → report and wait for guidance
    • User interrupts
  7. On completion or pause, show status

    Display:

    • Tasks completed this session
    • Overall progress: "N/M tasks complete"
    • If all done: suggest archive
    • If paused: explain why and wait for guidance

Output During Implementation

## Implementing: <change-name> (schema: <schema-name>)

Working on task 3/7: <task description>
[...implementation happening...]
✓ Task complete

Working on task 4/7: <task description>
[...implementation happening...]
✓ Task complete

Output On Completion

## Implementation Complete

**Change:** <change-name>
**Schema:** <schema-name>
**Progress:** 7/7 tasks complete ✓

### Completed This Session
- [x] Task 1
- [x] Task 2
...

All tasks complete! Ready to archive this change.

Output On Pause (Issue Encountered)

## Implementation Paused

**Change:** <change-name>
**Schema:** <schema-name>
**Progress:** 4/7 tasks complete

### Issue Encountered
<description of the issue>

**Options:**
1. <option 1>
2. <option 2>
3. Other approach

What would you like to do?

Guardrails

  • Keep going through tasks until done or blocked
  • Always read context files before starting (from the apply instructions output)
  • If task is ambiguous, pause and ask before implementing
  • If implementation reveals issues, pause and suggest artifact updates
  • Keep code changes minimal and scoped to each task
  • Update task checkbox immediately after completing each task
  • Pause on errors, blockers, or unclear requirements - don't guess
  • Use contextFiles from CLI output, don't assume specific file names

Read the full file on GitHub · 157 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. 2d ago First seen · 157 lines · 31 tokens per session scan A 679533b52454

Subscribe to this mod's changes

openspec-apply-change is a skill published in the GitHub repository halo-dev/cli (29 stars, last pushed 2mo ago), licensed MIT. It adds 31 tokens to every session and 1,114 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to openspec-apply-change, differing in 5 lines, and is treated as a copy.

Related

Other skills, from other repositories

swarmclaw

AI agent runtime and multi-agent orchestration platform. Teaches agents how to use SwarmClaw's 6 primitive tools, persistent memory, dreaming, delegation, connectors, credentials, and the skill system. Use when an agent is running on SwarmClaw and needs to understand the platform's capabilities.

swarmclawai/swarmclaw · 67 tokens

gh-issues

Fetch GitHub issues, spawn sub-agents to implement fixes and open PRs, then monitor and address PR review comments. Usage: /gh-issues [owner/repo] [--label bug] [--limit 5] [--milestone v1.0] [--assignee @me] [--fork user/repo] [--watch] [--interval 5] [--reviews-only] [--cron] [--dry-run] [--model glm-5]…

SafeAI-Lab-X/ClawKeeper · 116 tokens

skill-creator

Create, edit, improve, or audit AgentSkills. Use when creating a new skill from scratch or when asked to improve, review, audit, tidy up, or clean up an existing skill or SKILL.md file. Also use when editing or restructuring a skill directory (moving files to references/ or scripts/, removing stale content, validating…

SafeAI-Lab-X/ClawKeeper · 121 tokens

feishu-safety-guide

One-click deployment Skill for Feishu security governance and message anti-data-leakage guide, responsible for Feishu message security, credential protection, permission auditing, interaction logging and periodic security reporting.

SafeAI-Lab-X/ClawKeeper · 43 tokens

prose

OpenProse VM skill pack. Activate on any prose command, .prose files, or OpenProse mentions; orchestrates multi-agent workflows.

SafeAI-Lab-X/ClawKeeper · 36 tokens

healthcheck

Host security hardening and risk-tolerance configuration for OpenClaw deployments. Use when a user asks for security audits, firewall/SSH/update hardening, risk posture, exposure review, OpenClaw cron scheduling for periodic checks, or version status checks on a machine running OpenClaw (laptop, workstation, Pi, VPS).

SafeAI-Lab-X/ClawKeeper · 70 tokens