mcp-session-insight: Skill for Claude Code

.claude/skills/openspec-apply-change/SKILL.md

openspec-apply-change is a skill for Claude Code from ArtLjn/mcp-session-insight. It costs 31 tokens per session (1,114 once invoked), scanned A, a copy of openspec-apply-change, MIT.

A workflow guide for carrying out tasks listed in an OpenSpec change. OpenSpec is a system for describing software changes as structured documents and task lists.

In plain words
What is it for?
Use it to start or continue implementing a named OpenSpec change, including checking its tasks and related files.
Why use it?
It helps the agent choose the right change, understand its current status, and follow the relevant implementation instructions. It also handles cases where several changes could match the request.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: names the AskUserQuestion tool.

This is ArtLjn/mcp-session-insight's own configuration. It tells Claude Code how to work on mcp-session-insight 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 mcp-session-insight configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ArtLjn/mcp-session-insight. 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/ArtLjn/mcp-session-insight/main/.claude/skills/openspec-apply-change/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/ArtLjn/mcp-session-insight

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-apply-change

README.md
[![agentmods](https://agentmods.dev/badge/skills/artljn/mcp-session-insight/openspec-apply-change/github.svg)](https://agentmods.dev/skills/artljn/mcp-session-insight/openspec-apply-change)
Your own site
<a href="https://agentmods.dev/skills/artljn/mcp-session-insight/openspec-apply-change"><img src="https://agentmods.dev/badge/skills/artljn/mcp-session-insight/openspec-apply-change/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 openspec-apply-change

Your own site · 80×15
<a href="https://agentmods.dev/skills/artljn/mcp-session-insight/openspec-apply-change"><img src="https://agentmods.dev/badge/skills/artljn/mcp-session-insight/openspec-apply-change.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
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. A grade says what 26 rules found in the file — not that it is safe.
Origin 88% 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 $0.00031 $0.01114
Opus 5 $0.00015 $0.00557
Sonnet 5 $0.00006 $0.00223
Haiku 4.5 $0.00003 $0.00111

Measured 10d ago against content hash 679533b52454, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, 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 10d 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

88% identical to openspec-apply-change — 8 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. 10d 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 ArtLjn/mcp-session-insight (1 stars, last pushed 3mo 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 88% identical to openspec-apply-change, differing in 8 lines, and is treated as a copy.

Related

Other skills, from other repositories

security-compliance

Guides security professionals in implementing defense-in-depth security architectures, achieving compliance with industry frameworks (SOC2, ISO27001, GDPR, HIPAA), conducting threat modeling and risk assessments, managing security operations and incident response, and embedding security throughout the SDLC.

sangrokjung/claude-forge · 56 tokens

stride-analysis-patterns

Apply STRIDE methodology to systematically identify threats. Use when analyzing system security, conducting threat modeling sessions, or creating security documentation.

sangrokjung/claude-forge · 30 tokens

blind-spot-pass

Use before starting work in a domain you don't know well, to surface the "unknown unknowns" — the things you don't even know to ask about — and learn just enough to prompt and decide well. Implements the "blind spot pass" pattern from Anthropic's Fable "finding your unknowns" field guide. Triggers when you say "I'm…

sangrokjung/claude-forge · 221 tokens

review-loop

Run the adversarial verification loop — implement, then hand the change to a fresh checker that did not write it, fix what it finds, and re-dispatch until APPROVE. Use before claiming any behavioural change is done, and on requests like "review loop", "adversarial review", "independent review", "get this verified"…

sangrokjung/claude-forge · 100 tokens

prompts-chat

Use when searching, installing, or improving AI skills and prompts via prompts.chat or skills.sh. Triggers on skill search, prompt lookup, install skill, improve prompt, prompts.chat.

sangrokjung/claude-forge · 41 tokens

humanize-korean

A Korean editing tool that removes translation-like phrasing and common AI writing habits while preserving facts, numbers, names, and quotations. It is intended for existing Korean prose, not for writing new marketing copy.

sangrokjung/claude-forge · 145 tokens