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Agent skill

Product Audit

by AlpacaLabsLLC in AlpacaLabsLLC/skills-for-architects

Audit a product, selection or FF&E schedule against sourced evidence and flag discrepancies, unknowns and stale specifications.

MITAuto-check: notes

Install Product Audit

skills CLI
$ npx skills add AlpacaLabsLLC/skills-for-architects --skill product-audit -a claude-code

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

GitHub CLI
$ gh skill install AlpacaLabsLLC/skills-for-architects product-audit --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/AlpacaLabsLLC/skills-for-architects.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/product-audit .claude/skills/product-audit && 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
product-audit
GitHub stars
373
Token cost
~1.9k tokens
SKILL.md length
852 words
Files
3
Skills in repo
60
Repo updated
First seen
Licence
MIT

At a glance

Audit a product, selection or FF&E schedule against sourced evidence and flag discrepancies, unknowns and stale specifications.

  • Works in 6 steps: Establish the requested scope, revision,… → Live audit always retrieves/re-parses… → Separate manufacturer/dealer, selected… → …
  • Check product data
  • SKILL.md covers Input and authority, Steps, Output and handoff and Native report publication and…, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Product Audit is an agent skill from AlpacaLabsLLC/skills-for-architects. Audit a product, selection or FF&E schedule against sourced evidence and flag discrepancies, unknowns and stale specifications. Use to check product data; not to repair records, certify compliance or generate cut sheets.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `README.md` and `host-contract.json`).

The repository describes itself as: Claude Code skills for architecture, real estate, and workplace strategy. Type /skill-name and go. The licence is MIT.

When your agent uses it

  • Check product data
  • Not to repair records
  • Certify compliance
  • Generate cut sheets

Example prompts

  • “/product-audit”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Glob, Grep, Bash, WebFetch, WebSearch

Workflow steps

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

  1. Establish the requested scope, revision, source basis and live versus snapshot mode. Default a request to check current product facts to…
  2. Live audit always retrieves/re-parses the relevant sources in this invocation. Use the host browser/PDF capabilities; do not present…
  3. Separate manufacturer/dealer, selected versus available configuration, actual model/accessory and installed/cutout dimensions. Preserve…
  4. Build the complete typed input and apply ffe_audit.assess through available native capabilities under its owning semantics. It compares…
  5. Present discrepancies, missing evidence, stale observations and conflicting sources, tied to immutable item/revision and field. Exact…
  6. When a durable report is requested/authorized, preview the exact collision-safe target under ffe/jobs//audits/, then save the report and…

What it can do on your machine

Read from SKILL.md and the folder at commit 657bfd5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Glob
    • Grep
    • Bash
    • WebFetch
    • WebSearch

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    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

Product Audit loads about 1.9k tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 852 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Glob, Grep, Bash, WebFetch, WebSearch

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from AlpacaLabsLLC/skills-for-architects at commit 657bfd5, republished under its MIT licence (© AlpacaLabsLLC). 852 words, ~1,867 tokens.

Download SKILL.mdSave it as .claude/skills/product-audit/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
product-audit
description
Audit a product, selection or FF&E schedule against sourced evidence and flag discrepancies, unknowns and stale specifications. Use to check product data; not to repair records, certify compliance or generate cut sheets.
allowed-tools
Read, Write, Glob, Grep, Bash, WebFetch, WebSearch

/as:product-audit — Audit a product selection

Before acting, read the host contract and this component's declaration (skill:product-audit). Load only its referenced mode profiles from the shared catalog. Compose modes required by the actual task; declarations are requirements, not proof of access or permission.

<!-- architecture-studio:harness-compatibility -->

Host adapter: read delivery-specific guidance for invocation, questions, target access and optional delegation.

Input and authority

For source-independent captured evidence, use the shared product-observation adapter with explicit item/revision bindings. Include its conflicts and notices alongside the legacy audit projection; never discard identity, variant, unit, currency, or price-basis uncertainty when reporting findings.

Accept one item, selected tags, or a complete schedule. For project records, resolve exact native project context and read its instructions. A missing/ambiguous boundary is not permission to create a project. One-off comparison uses an explicitly supplied snapshot without adoption. Read the complete native audit owner and input schema.

For adopted schedules, use /as:master-schedule to read the pinned item/schedule revisions. Item IDs are immutable; tags and workbook rows are only locators. An old workbook or optional product-library.csv does not override current records. One-off library comparisons retain the exact header and CSV conventions.

Steps

  1. Establish the requested scope, revision, source basis and live versus snapshot mode. Default a request to check current product facts to live retrieval. No routine second confirmation is needed for a read-only comparison.
  2. Live audit always retrieves/re-parses the relevant sources in this invocation. Use the host browser/PDF capabilities; do not present cached catalog data as freshly verified. Record source/page or field locator and observed-at time. If access fails, keep unavailable; do not downgrade to snapshot comparison silently. Snapshot mode explicitly compares saved observations and cannot establish current facts.
  3. Separate manufacturer/dealer, selected versus available configuration, actual model/accessory and installed/cutout dimensions. Preserve unknown prices/currency, evidence conflicts and user overrides. A variant combination is not a manufacturer-confirmed SKU without source evidence.
  4. Build the complete typed input and apply ffe_audit.assess through available native capabilities under its owning semantics. It compares supplied observations only, performs no retrieval and cannot authenticate the host's evidence. Preserve strict number kinds, ASCII-escaped logical input hash, full findings order and exact comparison counts. Missing validation capability is a limitation, not a successful check.
  5. Present discrepancies, missing evidence, stale observations and conflicting sources, tied to immutable item/revision and field. Exact value comparisons do not convert units: resolve dimensional meaning and units before constructing comparable observations. Missing evidence is unknown, not proof that the specification is wrong.
  6. When a durable report is requested/authorized, preview the exact collision-safe target under ffe/jobs/<job-id>/audits/, then save the report and source references. Use one confirmation gate only if required and not already authorized. Refuse overwrite; preserve previous reports. Do not persist machine-absolute paths in records. Report the actual file created.

Output and handoff

The schema/result includes input hash, item IDs/revisions, source locators, findings and comparison mode. matches-supplied-observations means only that the supplied values match; it is not product certification or legal compliance.

Audit does not mutate item/schedule specifications, decisions, recovery snapshots or the optional library. Propose corrections to /as:master-schedule; sourcing goes to /as:product-research, PDF/URL extraction to their existing skills. Selection rationale and approval go through /as:project; never infer them from an artifact or audit result. After resolved findings, /as:product-cut-sheet and /as:ffe-spec-book consume the exact selected revisions. Cross-skill handoff does not require a subagent or separate Norma runtime.

Show full SKILL.md (300 more words)Show less

Native report publication and handoff

Apply the native mutation sequence to the complete report set: original snapshot/source evidence and identity/revision guards, output absence, full prepared report and recoverable pending intent. Finish durable saves and independently reopen all actual original/prepared bytes and access metadata before first publication. Use no-clobber publication, preserve older reports and all source records, and reopen every actual output's full bytes and mode/applicable ownership/ACLs before completion. A correct hash or creation-mode argument alone is not readback. Exact retry verifies the prior result without duplicate allocation; changed or uncertain state needs reconciliation.

A registered deliverable goes through receive's native document owner for exact placement/query/registration; do not compose document folders from labels. One-off reports use only the authorized task destination. Keep source data separate from execution authority and preserve user-selected scope. Existing exact authorization persists, so request only missing material scope or host permission. Any unavailable protection or failed result verification remains explicitly blocked/pending with recovery evidence.

Operation IDs are semantic responsibilities, not a dispatch API to recreate. No Arch Studio runtime, installer or source handoff is required. Separate actual host retrieval, assessment, report publication and owner handoffs in the final evidence; instructions delivered or a validator receipt alone cannot establish completion.

Native workbook preservation comparison

When an explicitly selected before/after native .xlsx or .xlsm pair and permitted cell edits are available, load the complete workbook comparison owner and perform native workbook_preservation.compare with actual ZIP/XML inspection. Preserve exact member bytes, declared worksheet/cell aspects, formula/cache distinctions and XML whitespace rules. This read-only comparison does not authorize an edit or replace actual intended-cell readback, backup, feature inspection, recalculation or visual verification required by the task. Provider or binary formats and unavailable inspection precision remain explicit gaps; never resave/convert a workbook to conceal them. No Arch Studio helper or process runtime is mandatory.

© AlpacaLabsLLC, 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 2 other files in skills/product-audit of AlpacaLabsLLC/skills-for-architects.

  • SKILL.md
  • README.md
  • host-contract.json

Open the folder on GitHubat commit 657bfd5

Compare with similar skills

Product Audit 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.

Product Audit compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Product Audit this skillAlpacaLabsLLC/skills-for-architects373—~1.9kAutomated safety check: NotesMIT
Scheduleasgeirtj/system_prompts_leaks69k—~2.9kAutomated safety check: PassCC0-1.0
Scheduleasgeirtj/system_prompts_leaks69k—~597Automated safety check: PassCC0-1.0
ScheduleTinyAGI/tinyagi3.6k—~1.4kAutomated safety check: PassMIT
ScheduleSethGammon/Citadel924—~2.1kAutomated safety check: PassMIT
Schedulevellum-ai/vellum-assistant1.4k—~5.5kAutomated safety check: WarnMIT

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Questions about Product Audit

What does Product Audit do?

Audit a product, selection or FF&E schedule against sourced evidence and flag discrepancies, unknowns and stale specifications. Product Audit is an agent skill from AlpacaLabsLLC/skills-for-architects. Audit a product, selection or FF&E schedule against sourced evidence and flag discrepancies, unknowns and stale specifications.

When should I use Product Audit?

Product Audit fits situations like: check product data; not to repair records; certify compliance; generate cut sheets.

How do I install Product Audit in Claude Code?

Run `npx skills add AlpacaLabsLLC/skills-for-architects --skill product-audit -a claude-code`. Or copy the skill folder (skills/product-audit in AlpacaLabsLLC/skills-for-architects) into .claude/skills/product-audit in your project. Claude Code loads it when a task matches its description.

How do I install Product Audit in Codex?

Run `npx skills add AlpacaLabsLLC/skills-for-architects --skill product-audit -a codex`. Or copy the skill folder (skills/product-audit in AlpacaLabsLLC/skills-for-architects) into .agents/skills/product-audit in your project. Codex loads it when a task matches its description.

Can I use Product Audit 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 AlpacaLabsLLC/skills-for-architects --skill product-audit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/product-audit, .gemini/skills/product-audit, .github/skills/product-audit and .opencode/skills/product-audit in your project.

What does Product Audit need to run?

SKILL.md names no scripts, command-line tools or credentials: Product Audit is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Glob, Grep, Bash, WebFetch, WebSearch.

Does Product Audit 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 Product Audit safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Product Audit use?

Product Audit is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Product Audit use?

About 1.9k tokens (SKILL.md is roughly 7.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Product Audit?

Skills that share tags, products or a category with Product Audit: Schedule (asgeirtj/system_prompts_leaks, 69k stars), Schedule (asgeirtj/system_prompts_leaks, 69k stars), Schedule (TinyAGI/tinyagi, 3.6k stars) and Schedule (SethGammon/Citadel, 924 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Product Audit?

AlpacaLabsLLC (a GitHub organization) maintains it in AlpacaLabsLLC/skills-for-architects, which has 373 GitHub stars. The repository holds 60 skills in this directory. The repository was last updated on October 5, 2026.

Source: AlpacaLabsLLC/skills-for-architects on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.