Agent skill

Access Request Intake

by archestra-ai in archestra-ai/archestra

Collect a complete system-access request from the user and file it via the IT service desk.

Custom licenceAuto-check passed

Install Access Request Intake

skills CLI
$ npx skills add archestra-ai/archestra --skill access-request-intake -a claude-code

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

GitHub CLI
$ gh skill install archestra-ai/archestra access-request-intake --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/archestra-ai/archestra.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ai-labs/skills/access-request-intake .claude/skills/access-request-intake && 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
access-request-intake
GitHub stars
4.4k
Token cost
~378 tokens
SKILL.md length
198 words
Files
1
Skills in repo
23
Repo updated
First seen
Licence
Custom licence

At a glance

Collect a complete system-access request from the user and file it via the IT service desk.

  • Works in 6 steps: From the user's request, fill in… → If any required field is missing or… → If the user later changes or corrects a… → …
  • Someone asks to request
  • SKILL.md covers Required fields and Protocol
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Access Request Intake is an agent skill from archestra-ai/archestra. Collect a complete system-access request from the user and file it via the IT service desk. Use when someone asks to request, grant, or set up system/application access for an employee.

Its SKILL.md is about 380 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator.

When your agent uses it

  • Someone asks to request
  • Set up system/application access for an employee

Example prompts

  • “/access-request-intake”

Workflow steps

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

  1. From the user's request, fill in whatever fields you already have.
  2. If any required field is missing or ambiguous, ask the user for it. Do not guess, and do not file the
  3. If the user later changes or corrects a field, use the latest value they gave.
  4. Before filing, check the access policy for the requested system and level, and apply every rule it
  5. Once every field is settled and the level is policy-compliant, call create_access_request once with
  6. Report the returned ticket_id.

What it can do on your machine

Read from SKILL.md and the folder at commit 268f421. 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

    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

Access Request Intake loads about 378 tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 198 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~378

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); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 198 words (~378 tokens).

“File system-access requests through the Acme IT service desk's create_access_request tool. The ticket is only valid when every field is present and correct, so gather all of them before submitting.”

— opening of SKILL.md by archestra-ai, Custom licence
name
access-request-intake

Read the full SKILL.md on GitHub

Files

Just SKILL.md in ai-labs/skills/access-request-intake of archestra-ai/archestra.

Open the folder on GitHubat commit 268f421

Compare with similar skills

Access Request Intake 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.

Access Request Intake compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Access Request Intake this skillarchestra-ai/archestra4.4k—~378Automated safety check: PassCustom licence
Agent Collective Intelligence Coordinatorruvnet/ruflo74k3 repos~1kAutomated safety check: PassMIT
Collection Digestoutline/outline41k—~498Automated safety check: PassCustom licence
Postman Collection Generatorsickn33/agentic-awesome-skills47k1 repos~1.4kAutomated safety check: PassMIT
Dossier Collectruvnet/ruflo74k—~1.1kAutomated safety check: NotesMIT
Collecting Indicators Of Compromisemukul975/Anthropic-Cybersecurity-Skills34k—~2.7kAutomated safety check: PassApache-2.0

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Questions about Access Request Intake

What does Access Request Intake do?

Collect a complete system-access request from the user and file it via the IT service desk. Access Request Intake is an agent skill from archestra-ai/archestra. Collect a complete system-access request from the user and file it via the IT service desk.

When should I use Access Request Intake?

Access Request Intake fits situations like: someone asks to request; set up system/application access for an employee.

How do I install Access Request Intake in Claude Code?

Run `npx skills add archestra-ai/archestra --skill access-request-intake -a claude-code`. Or copy the skill folder (ai-labs/skills/access-request-intake in archestra-ai/archestra) into .claude/skills/access-request-intake in your project. Claude Code loads it when a task matches its description.

How do I install Access Request Intake in Codex?

Run `npx skills add archestra-ai/archestra --skill access-request-intake -a codex`. Or copy the skill folder (ai-labs/skills/access-request-intake in archestra-ai/archestra) into .agents/skills/access-request-intake in your project. Codex loads it when a task matches its description.

Can I use Access Request Intake 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 archestra-ai/archestra --skill access-request-intake -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/access-request-intake, .gemini/skills/access-request-intake, .github/skills/access-request-intake and .opencode/skills/access-request-intake in your project.

What does Access Request Intake need to run?

SKILL.md names no scripts, command-line tools or credentials: Access Request Intake is instructions for the agent only.

Does Access Request Intake 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 Access Request Intake 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. Review the folder before installing.

What licence does Access Request Intake use?

Access Request Intake has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Access Request Intake use?

About 378 tokens (SKILL.md is roughly 1.5k 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 Access Request Intake?

Skills that share tags, products or a category with Access Request Intake: Agent Collective Intelligence Coordinator (ruvnet/ruflo, 74k stars), Collection Digest (outline/outline, 41k stars), Postman Collection Generator (sickn33/agentic-awesome-skills, 47k stars) and Dossier Collect (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Access Request Intake?

archestra-ai (a GitHub organization) maintains it in archestra-ai/archestra, which has 4,354 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 8, 2026.

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