agentmods.dev

interview-admin

An administrative workflow for running interviews with Neotoma as the central record of contacts, invitations, progress, and assessments. It connects the CRM—the system used to manage contact relationships—with the remote interview application.

In plain words
What is it for?
Provisioning interview contacts, generating share codes and links, sending invitations, tracking lifecycle events such as opened or completed, storing assessments, and reporting funnel progress.
Why use it?
It reduces manual coordination by keeping contact records and interview status synchronized across the systems involved.

Skill for Claude CodeCodex

5 4d ago A scan 30 tokens original MIT
View the source file markmhendrickson/ateles
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/markmhendrickson/ateles/interview-admin
Any agent
npx skills add markmhendrickson/ateles --skill interview-admin
Clone the repo
git clone --depth 1 https://github.com/markmhendrickson/ateles

Made for: Claude Code, Codex.

Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 954 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00030 $0.00954
Opus 5 $0.00015 $0.00477
Sonnet 5 $0.00006 $0.00191
Haiku 4.5 $0.00003 $0.00095

Measured 2d ago against content hash e32eac1d920b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

interview-admin 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 2d 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.

.claude/skills/interview-admin/SKILL.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

interview-admin

Purpose

Operate the interviews app without manual admin UI, with Neotoma as canonical system of record for contacts, invite lifecycle, and interview progress.

Systems

  • Canonical CRM and lifecycle state: user-neotoma MCP
  • Remote interview app operations: interviews-admin MCP

Entity model in Neotoma

  • interview_participation
    • interview_slug, share_code, share_url, contact_name
    • status: provisioned | invite_sent | opened | started | in_progress | abandoned | completed
    • invite_method, invite_sent_at, invite_confirmed_at
  • interview_assessment
    • full: normalized assessment payload from interview app result
    • partial: is_partial: true, transcript fields, message_count
  • interview_event
    • event_type: invite + lifecycle events from interview app
    • timestamp, session_id, share_code, interview_slug, message_count?

Workflow: Provision contact

  1. Retrieve contact in Neotoma (retrieve_entity_by_identifier).
  2. Generate deterministic share code from contact name (lowercase alnum, 2-20 chars).
  3. Check remote contact list (interviews_admin_list_contacts).
  4. Upsert remote contact (interviews_admin_upsert_contact) with code, name, and email when available.
  5. Store interview_participation in Neotoma with status provisioned.
  6. Create REFERS_TO from participation to contact.
  7. Return link: https://interviews.markmhendrickson.com/{interview_slug}/{share_code}.

Workflow: Send invite (email)

  1. Verify participation exists and contact has an email.
  2. Call interviews_admin_send_invite.
  3. Update participation status to invite_sent, set invite_method=email, invite_sent_at.
  4. Store interview_event with event_type=invite_email_sent.

Workflow: Prepare text invite

  1. Verify participation exists.
  2. Call interviews_admin_get_text_invite.
  3. Display the exact message for copy/paste.
  4. Store interview_event with event_type=invite_text_prepared.
  5. Wait for user confirmation.

Read the full file on GitHub · 105 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. 2d ago First seen · 105 lines · 30 tokens per session scan A e32eac1d920b

Subscribe to this mod's changes

interview-admin is a skill published in the GitHub repository markmhendrickson/ateles (5 stars, last pushed 4d ago), licensed MIT. It adds 30 tokens to every session and 954 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Autonomous AgentsData and AILLMProductivityaauthagent-swarmai-agentsclaude
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