Official agent skill

Azure Typespec Assessment

by Azure in Azure/azure-sdk-tools

Assess Azure TypeSpec Git diffs for semantic intent, REST and downstream SDK breaking changes, Azure Guidelines compliance, and documentation completeness.

OfficialMITAuto-check passedDevelopment

Install Azure Typespec Assessment

skills CLI
$ npx skills add Azure/azure-sdk-tools --skill azure-typespec-assessment -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Azure/azure-sdk-tools azure-typespec-assessment --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Azure/azure-sdk-tools.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/azure-typespec-assessment .claude/skills/azure-typespec-assessment && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
azure-typespec-assessment
GitHub stars
134
Token cost
~1.9k tokens
SKILL.md length
899 words
Files
118 (incl. scripts, references)
Skills in repo
35
Repo updated
First seen
Licence
MIT

At a glance

Assess Azure TypeSpec Git diffs for semantic intent, REST and downstream SDK breaking changes, Azure Guidelines compliance, and documentation completeness.

  • Works in 4 steps: Start scripts/serve-assessment.mjs… → Immediately read startup output from the… → Capture the printed… → …
  • Otherwise modifying TypeSpec
  • SKILL.md covers Before starting a local…, Required completion and Boundaries
  • Runs JavaScript scripts from its folder

What it does

Azure Typespec Assessment is an agent skill from Azure/azure-sdk-tools, published by the product's own GitHub organization. Assess Azure TypeSpec Git diffs for semantic intent, REST and downstream SDK breaking changes, Azure Guidelines compliance, and documentation completeness. Generate a read-only assessment without modifying the TypeSpec source. WHEN: "assess TypeSpec changes", "review TypeSpec diff", "check TypeSpec breaking changes", "assess TypeSpec against Azure Guidelines", "explain TypeSpec REST impact", "review TypeSpec documentation". DO NOT USE FOR: editing, fixing, or otherwise modifying TypeSpec; use…

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 125 other files, including scripts and reference files (for example `docs/README.md`, `docs/design.md` and `eslint.config.js`).

It sits in Development. It works with Microsoft Azure and Git. The repository describes itself as: Tools repository leveraged by the Azure SDK team. The licence is MIT.

When your agent uses it

  • Otherwise modifying TypeSpec
  • Use azure-typespec-author for authoring and remediation

Example prompts

  • “assess TypeSpec changes”
  • “review TypeSpec diff”
  • “check TypeSpec breaking changes”
  • “/azure-typespec-assessment”

Requirements

  • Node.js

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Start scripts/serve-assessment.mjs --file /assessment.html
  2. Immediately read startup output from the running process through the host's
  3. Capture the printed http://127.0.0.1:/assessment.html URL and confirm
  4. Return that URL as the clickable Assessment report link and include the

What it can do on your machine

Read from SKILL.md and the folder at commit 942ef24. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (JavaScript, from the files we listed), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Azure Typespec Assessment loads about 1.9k tokens when it runs, and up to ~18k if it reads all its reference files. Until then it costs about 144 tokens; SKILL.md has 899 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~144
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~18k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from Azure/azure-sdk-tools at commit 942ef24, republished under its MIT licence (© Azure). 899 words, ~1,945 tokens.

Download SKILL.mdSave it as .claude/skills/azure-typespec-assessment/SKILL.md (or your agent's skills folder). This skill also uses 117 other files; get the full folder from GitHub.
name
azure-typespec-assessment
description
Assess Azure TypeSpec Git diffs for semantic intent, REST and downstream SDK breaking changes, Azure Guidelines compliance, and documentation completeness. Generate a read-only assessment without modifying the TypeSpec source. WHEN: "assess TypeSpec changes", "review TypeSpec diff", "check TypeSpec breaking changes", "assess TypeSpec against Azure Guidelines", "explain TypeSpec REST impact", "review TypeSpec documentation". DO NOT USE FOR: editing, fixing, or otherwise modifying TypeSpec; use azure-typespec-author for authoring and remediation.
license
MIT
metadata.author
Microsoft
metadata.version
0.0.0-beta

Azure TypeSpec Assessment

Assess only the user-selected TypeSpec scope, normally before a PR exists. Never modify the user's assessed source, branch, index, or working tree; isolated temporary sparse worktrees and artifacts are allowed only under the chosen work directory.

Before starting a local assessment

Check whether the user explicitly supplied or confirmed the baseline for this assessment. If not, your first assessment action must be to ask: "Compare against origin/main, or a different branch or commit?" Use the host's user-question tool when available and wait for the answer. Do not start preflight, compute a merge base, create work artifacts, or run analysis before confirmation. Permission to assess the code is not permission to choose its baseline; merely announcing origin/main is not confirmation. Use a supplied baseline without asking again. Existing-report replay does not need this question; for PR assessment, use the PR's actual target baseline.

For every fresh assessment, the coordinator is the first operational command. For a PR, run run-assessment-analysis.mjs --pr <url-or-number> --repo <repo> --output <work> immediately. For local code, run it immediately with --base, --specification, --repo, and --output once the baseline is known. Do not run separate Git status/diff/fetch/worktree, PR metadata, dependency, or project-discovery commands first. Diagnose only a concrete blocker returned by the coordinator.

Follow the complete workflow. Apply the classification rules, including the detailed downstream cases, perform the Azure Guidelines search against the official document catalog, check documentation completeness, and produce exactly the required outputs.

Required completion

After guarded finalization succeeds, the assessment is not complete until the rendered report is served and linked:

  1. Start scripts/serve-assessment.mjs --file <work-directory>/assessment.html through the host's attached background or long-lived process mechanism.
  2. Immediately read startup output from the running process through the host's process-output reader. Do not wait for process completion or a completion notification: the server is intentionally long-lived.
  3. Capture the printed http://127.0.0.1:<port>/assessment.html URL and confirm the process remains running.
  4. Return that URL as the clickable Assessment report link and include the absolute assessment.json path for structured results.

Do not substitute a file: URL or only return filesystem paths.

Boundaries

  • V1 is standalone and opt-in: run only when the user explicitly requests an assessment or review. Do not invoke this skill from azure-typespec-author, or automatically before or after its authoring and validation workflow. Integration is deferred to a future version.
  • Run complete mode only: merge-base through HEAD, staged, unstaged, and relevant untracked changes.
  • Derive semantic intents from changed TypeSpec source. Use AutoRest only to map those intents to REST operations and assess REST compatibility; use TCGC only for downstream SDK analysis.
  • Check deterministic hunk coverage in model-input.json. Resolve only its declared artifactReferences and evidenceSetId entries when full evidence is needed. Skip inference when all hunks have candidates or explicit deterministic classifications. For unknown hunks only, write and validate inference.json before final judgment.
  • When the coordinator returns awaiting-agent-judgment, continue immediately in the same task. Do not stop for a progress summary or require the user to say "continue." Read agent-workspace/agent-index.json once, then read its single bounded model-input.json exactly once. Read the compact decision schema listed in the index exactly once, resolving it relative to this skill directory; do not search for schemas. Do not recursively list the work directory, scan canonical artifacts broadly, or reread schemas during normal execution.
  • api-version-publication and api-version-wide-change intents are deterministic informational items. A version-wide change is identified from a Versions declaration with no directly owned operation and only version-transition/governance operation mappings; it does not use an operation-count threshold. Their affected operations remain in the final Semantic intents report, but they and their exclusively associated candidates are excluded from model input, inference, Azure Guidelines decisions, breaking-change relationships, and findings.
  • In the final bounded Agent phase, summarize each assessed Semantic intent once, judge every deterministic and inferred REST/downstream candidate, rank the catalog once across all assessed Semantic intents, fetch four official documents once with ranked fallback, record provenance and extracted guidance once, then assess each included intent against that shared document set. Guidance excerpts do not carry declaration IDs; use only the prefilled intent-scoped qualified declarationNames in the citing compliance judgment. Write only agent-workspace/agent-decisions.json; run the indexed materializer to produce inference, search-evidence, and judgment artifacts. The materializer never fetches or authors judgment. Do not assess each operation or invent URLs, operations, symbols, sources, or guidance.
  • Treat a completed search with no governing guidance as no-applicable-guidance; count it as assessed and do not create a blocker. Reserve not-assessed for an incomplete or blocked Azure Guidelines assessment.
  • Check documentation deterministically from compiler results only for newly added operation, model, enum, and interface declarations. A declaration is complete when the compiler returns a nonempty effective document, including inherited documentation. Missing or empty documentation creates a finding with the exact TypeSpec declaration. Never compare documentation text with code or send documentation to the Agent.
  • Report Azure Guidelines and Documentation Completeness independently with explicit coverage. Documentation with no eligible newly added declarations is not-applicable; unavailable compiler evidence remains not-assessed.
  • Overall safety covers REST and downstream SDK impact only.
  • After successful materialization, run one guarded invocation of finalize-assessment.mjs --work <work-directory>. Do not separately assemble, validate, and render. Finalization requires validated assessment.json and assessment.html; user-facing completion additionally requires the served report link described above. model-input.json, the Agent index, filesystem paths without the link, or a partial blocker is not completion.
  • Retain blockers as Potential limits in the report appendix and stop after assessment. Do not author fixes or remediate TypeSpec.

© Azure, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 117 other files (scripts, references) in .github/skills/azure-typespec-assessment of Azure/azure-sdk-tools.

  • SKILL.md
  • .gitignore
  • docs/README.md
  • docs/design.md
  • eslint.config.js
  • evals/README.md
  • evals/assessment.eval.yaml
  • evals/reports/42435/assessment.html
  • evals/reports/42853/assessment.html
  • evals/reports/43308/assessment.html
  • evals/reports/43745/assessment.html
  • evals/reports/44200/assessment.html
  • evals/reports/44454
  • … and 105 more

Open the folder on GitHubat commit 942ef24

Compare with similar skills

Azure Typespec Assessment next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Azure Typespec Assessment compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Azure Typespec Assessment this skillAzure/azure-sdk-tools134—~1.9kAutomated safety check: PassMIT
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Authmicrosoft/apm4k—~756Automated safety check: PassMIT
Remediate Image Cveskubernetes-sigs/cloud-provider-azure294—~3.9kAutomated safety check: PassApache-2.0
Setting Up Cloudwatch Observabilityaws/agent-toolkit-for-aws2.8k—~5kAutomated safety check: PassApache-2.0
Adf MasterKilo-Org/kilo-marketplace190—~3.2kAutomated safety check: PassMIT

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Categories

Questions about Azure Typespec Assessment

What does Azure Typespec Assessment do?

Assess Azure TypeSpec Git diffs for semantic intent, REST and downstream SDK breaking changes, Azure Guidelines compliance, and documentation completeness. Azure Typespec Assessment is an agent skill from Azure/azure-sdk-tools, published by the product's own GitHub organization. Assess Azure TypeSpec Git diffs for semantic intent, REST and downstream SDK breaking changes, Azure Guidelines compliance, and documentation completeness.

When should I use Azure Typespec Assessment?

Azure Typespec Assessment fits situations like: otherwise modifying TypeSpec; use azure-typespec-author for authoring and remediation.

How do I install Azure Typespec Assessment in Claude Code?

Run `npx skills add Azure/azure-sdk-tools --skill azure-typespec-assessment -a claude-code`. Or copy the skill folder (.github/skills/azure-typespec-assessment in Azure/azure-sdk-tools) into .claude/skills/azure-typespec-assessment in your project. Claude Code loads it when a task matches its description.

How do I install Azure Typespec Assessment in Codex?

Run `npx skills add Azure/azure-sdk-tools --skill azure-typespec-assessment -a codex`. Or copy the skill folder (.github/skills/azure-typespec-assessment in Azure/azure-sdk-tools) into .agents/skills/azure-typespec-assessment in your project. Codex loads it when a task matches its description.

Can I use Azure Typespec Assessment in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Azure/azure-sdk-tools --skill azure-typespec-assessment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/azure-typespec-assessment, .gemini/skills/azure-typespec-assessment, .github/skills/azure-typespec-assessment and .opencode/skills/azure-typespec-assessment in your project.

What does Azure Typespec Assessment need to run?

Going by SKILL.md and its folder, Azure Typespec Assessment needs JavaScript for the scripts in its folder. Our summary lists: Node.js.

Does Azure Typespec Assessment access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Azure Typespec Assessment safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Azure Typespec Assessment use?

Azure Typespec Assessment is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Azure Typespec Assessment use?

About 1.9k tokens (SKILL.md is roughly 7.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 16k tokens, read only when the agent opens those files.

What are the alternatives to Azure Typespec Assessment?

Skills that share tags, products or a category with Azure Typespec Assessment: Azdo Internal (microsoft/aspire, 6.4k stars), Auth (microsoft/apm, 4k stars), Remediate Image Cves (kubernetes-sigs/cloud-provider-azure, 294 stars) and Setting Up Cloudwatch Observability (aws/agent-toolkit-for-aws, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Azure Typespec Assessment?

Azure (a GitHub organization, an official publisher) maintains it in Azure/azure-sdk-tools, which has 134 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on October 10, 2026.

Source: Azure/azure-sdk-tools on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.