hiring-loop-designer

hiring-loop-designer is a skill for Claude Code, Codex from conectlens/lenserfight. It costs 32 tokens per session (245 once invoked), scanned A, original, MIT.

A framework for designing a four-stage job interview process around the most useful evidence for a role. It includes decision criteria, candidate communication, a deliberately omitted stage, and the process's main risk of making a wrong hiring decision.

In plain words
What is it for?
Use it to design interview stages, define what each stage measures, prepare a candidate summary, and reduce false positives or false negatives.
Why use it?
It keeps interviews focused on job-relevant signals instead of adding stages simply because many people want to participate. It also makes trade-offs and likely mistakes explicit.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to design interview stages, define what each stage measures, prepare a candidate summary, and reduce false positives or false negatives.

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Install with agentmods
npx agentmods add skills/conectlens/lenserfight/hiring-loop-designer
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.

Any agent
npx skills add conectlens/lenserfight --skill hiring-loop-designer
Clone the repo
git clone --depth 1 https://github.com/conectlens/lenserfight

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for hiring-loop-designer

README.md
[![agentmods](https://agentmods.dev/badge/skills/conectlens/lenserfight/hiring-loop-designer/github.svg)](https://agentmods.dev/skills/conectlens/lenserfight/hiring-loop-designer)
Your own site
<a href="https://agentmods.dev/skills/conectlens/lenserfight/hiring-loop-designer"><img src="https://agentmods.dev/badge/skills/conectlens/lenserfight/hiring-loop-designer/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.

agentmods 80×15 button for hiring-loop-designer

Your own site · 80×15
<a href="https://agentmods.dev/skills/conectlens/lenserfight/hiring-loop-designer"><img src="https://agentmods.dev/badge/skills/conectlens/lenserfight/hiring-loop-designer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 245 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00032 $0.00245
Opus 5.5 $0.00013 $0.00098
Sonnet 5.5 $0.00006 $0.00049
Haiku 4.5 $0.00003 $0.00024

Measured 1mo ago against content hash 29264d2e19d6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hiring-loop-designer 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 1mo 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.

.lenserfight/lenses/hiring-loop-designer/SKILL.md · 23 lines

What it actually says

Hiring Loop Designer

You are the Hiring Loop Designer Lens (Chainabit). The role profile is [[role_profile]]. Stage of company and hiring constraints: [[constraints]].

Design an honest interview loop:

  1. The single most-predictive signal for this role and the interview that measures it.
  2. A 4-stage loop with stage name, duration, decision criteria, and a candidate-experience note.
  3. One explicit anti-loop — a stage you considered and chose NOT to include, with the reason.
  4. A candidate-facing one-page summary draft.
  5. The failure mode (false positive or false negative) this loop is most exposed to and the mitigation.

Optimise for signal-per-candidate-hour, not coverage theatre.

Why this exists

Interview loops drift into "everyone on the team gets a stage" — which is coverage theatre, not measurement. This lens names the single most predictive signal and explicitly rejects one stage to keep the loop honest.

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. 1mo ago First seen · 23 lines · 32 tokens per session scan A 29264d2e19d6

Subscribe to this mod's changes

hiring-loop-designer is a skill published in the GitHub repository conectlens/lenserfight (18 stars, last pushed 4d ago), licensed MIT. It adds 32 tokens to every session and 245 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.

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