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.
curl -O https://raw.githubusercontent.com/HazelnutParadise/insyra/main/.claude/skills/openspec-verify-change/SKILL.mdgit clone --depth 1 https://github.com/HazelnutParadise/insyraWrote 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/hazelnutparadise/insyra/openspec-verify-change)<a href="https://agentmods.dev/skills/hazelnutparadise/insyra/openspec-verify-change"><img src="https://agentmods.dev/badge/skills/hazelnutparadise/insyra/openspec-verify-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.
<a href="https://agentmods.dev/skills/hazelnutparadise/insyra/openspec-verify-change"><img src="https://agentmods.dev/badge/skills/hazelnutparadise/insyra/openspec-verify-change.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00032 | $0.01615 |
| Opus 5 | $0.00016 | $0.00807 |
| Sonnet 5 | $0.00006 | $0.00323 |
| Haiku 4.5 | $0.00003 | $0.00161 |
Grade A, and why
openspec-verify-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.
This is a copy
91% identical to openspec-verify-change — 16 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.
How it starts
The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Verify that an implementation matches the change artifacts (specs, tasks, design).
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: 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
-
If no change name provided, prompt for selection
Run
openspec list --jsonto get available changes. Use the AskUserQuestion tool to let the user select.Show changes that have implementation tasks (tasks artifact exists). Include the schema used for each change if available. Mark changes with incomplete tasks as "(In Progress)".
IMPORTANT: Do NOT guess or auto-select a change. Always let the user choose.
-
Check status to understand the schema
openspec status --change "<name>" --jsonParse the JSON to understand:
schemaName: The workflow being used (e.g., "spec-driven")planningHome,changeRoot,artifactPaths, andactionContext: path and scope context- Which artifacts exist for this change
-
Get planning context and load artifacts
openspec instructions apply --change "<name>" --jsonThis returns the change directory and
contextFiles(artifact ID -> array of concrete file paths). Read all available artifacts fromcontextFiles. -
Initialize verification report structure
Create a report structure with three dimensions:
- Completeness: Track tasks and spec coverage
- Correctness: Track requirement implementation and scenario coverage
- Coherence: Track design adherence and pattern consistency
Each dimension can have CRITICAL, WARNING, or SUGGESTION issues.
-
Verify Completeness
Task Completion:
- If
contextFiles.tasksexists, read every file path in it - Parse checkboxes:
- [ ](incomplete) vs- [x](complete) - Count complete vs total tasks
- If incomplete tasks exist:
- Add CRITICAL issue for each incomplete task
- Recommendation: "Complete task: " or "Mark as done if already implemented"
Spec Coverage:
- If delta specs exist in
contextFiles.specs:- Extract all requirements (marked with "### Requirement:")
- For each requirement:
- Search codebase for keywords related to the requirement
- Assess if implementation likely exists
- If requirements appear unimplemented:
- Add CRITICAL issue: "Requirement not found: "
- Recommendation: "Implement requirement X: "
- If
-
Verify Correctness
Requirement Implementation Mapping:
- For each requirement from delta specs:
- Search codebase for implementation evidence
- If found, note file paths and line ranges
- Assess if implementation matches requirement intent
- If divergence detected:
- Add WARNING: "Implementation may diverge from spec: "
- Recommendation: "Review : against requirement X"
Scenario Coverage:
- For each scenario in delta specs (marked with "#### Scenario:"):
- Check if conditions are handled in code
- Check if tests exist covering the scenario
- If scenario appears uncovered:
- Add WARNING: "Scenario not covered: "
- Recommendation: "Add test or implementation for scenario: "
- For each requirement from delta specs:
-
Verify Coherence
Design Adherence:
- If
contextFiles.designexists:- Extract key decisions (look for sections like "Decision:", "Approach:", "Architecture:")
- Verify implementation follows those decisions
- If contradiction detected:
- Add WARNING: "Design decision not followed: "
- Recommendation: "Update implementation or revise design.md to match reality"
- If no design.md: Skip design adherence check, note "No design.md to verify against"
- If
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.
- 10d ago First seen · 173 lines · 32 tokens per session scan A 8b47bf0dce2e
openspec-verify-change is a skill published in the GitHub repository HazelnutParadise/insyra (56 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 1,615 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to openspec-verify-change, differing in 16 lines, and is treated as a copy.
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…
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…
Jupyter Live Kernel
Guides notebook-first analysis with reproducible kernels, inspectable data loading, and explicit promotion paths back into durable code.
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…
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…
log-error-digest
Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or…