hiring-pipeline-reviewer

hiring-pipeline-reviewer is a skill for Claude Code, Codex from KirKruglov/claude-skills-kit. It costs 89 tokens per session (1,741 once invoked), scanned A, original, MIT.

A guide for producing a weekly report on candidates in a hiring pipeline, meaning the stages applicants move through during recruitment.

In plain words
What is it for?
Use it to create candidate status tables, flag problems, recommend advancing or declining applicants, and optionally draft a recruiter update.
Why use it?
It gathers interview notes and evaluation scores in one view and highlights candidates who are stuck, missing information, or ready for a decision.

Skill for Claude CodeCodex

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

Good fit Use it to create candidate status tables, flag problems, recommend advancing or declining applicants, and optionally draft a recruiter update.

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Install with agentmods
npx agentmods add skills/kirkruglov/claude-skills-kit/hiring-pipeline-reviewer
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 KirKruglov/claude-skills-kit --skill hiring-pipeline-reviewer
Clone the repo
git clone --depth 1 https://github.com/KirKruglov/claude-skills-kit

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-pipeline-reviewer

README.md
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Your own site
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Your own site · 80×15
<a href="https://agentmods.dev/skills/kirkruglov/claude-skills-kit/hiring-pipeline-reviewer"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/hiring-pipeline-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,741 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 $0.00089 $0.01741
Opus 5 $0.00044 $0.00870
Sonnet 5 $0.00018 $0.00348
Haiku 4.5 $0.00009 $0.00174

Measured 12d ago against content hash 2e5792e87848, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

hiring-pipeline-reviewer 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 12d 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.

skills/hiring-and-hr/hiring-pipeline-reviewer/SKILL.md · 173 lines

How it starts

The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hiring Pipeline Reviewer

Generates a structured weekly status report for all candidates in a hiring pipeline from the hiring manager's interview notes and evaluation sheets. Flags stuck candidates, consolidates scores, recommends next steps, and optionally drafts a recruiter update.

Input:

  • Interview notes and/or evaluation sheets (plain text, .md, or .txt; one block or multiple files)
  • Optional: position title, hiring criteria, cutoff date for "stuck" flag (default: 5 days)

Output:

  • Candidate status table with stage, last action, score, next step, and flags
  • Flags section (stuck candidates, missing data)
  • Recommendations section (advance / decline / decision needed)
  • Optional recruiter update narrative (2–4 sentences)

Language Detection

Detect the user's language from their message:

  • If Russian (or contains Cyrillic): respond in Russian
  • If English (or other Latin-script language): respond in English
  • If ambiguous: respond in the language of the trigger phrase used

Instructions

Step 1: Collect Input

  1. Check what the user already provided in their trigger message:

    • Interview notes or evaluation text included → extract it
    • Position title mentioned → extract it
    • Hiring criteria mentioned → extract them
  2. If no notes or evaluation data were provided, ask the user to paste them. Do not proceed without input data.

  3. Accept any of these input formats:

    • Plain text pasted directly in chat
    • Single block of notes covering multiple candidates
    • Separate text blocks per candidate (labeled or unlabeled)

Step 2: Extract Candidate Records

  1. Parse the input to identify individual candidates:

    • Look for names, initials, or role labels (e.g., "Candidate 1", "Alex M.", "Senior iOS Dev")
    • Use date markers, section separators, or explicit labels as candidate boundaries
  2. For each identified candidate, extract:

    • Name / identifier (use provided name; if ambiguous, assign [Candidate A], [Candidate B])
    • Stage (e.g., Applied, Phone Screen, Interview 1, Interview 2, Offer, Declined)
    • Last action date (most recent note or evaluation date; mark as if absent)
    • Score or evaluation summary (numeric if present; narrative summary if not)
    • Key strengths (up to 2 phrases)
    • Key concerns (up to 2 phrases)
    • Stated next step (if mentioned in notes; otherwise )

Read the full file on GitHub · 173 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 12d ago First seen · 173 lines · 89 tokens per session scan A 2e5792e87848

Subscribe to this mod's changes

hiring-pipeline-reviewer is a skill published in the GitHub repository KirKruglov/claude-skills-kit (18 stars, last pushed 1mo ago), licensed MIT. It adds 89 tokens to every session and 1,741 once invoked, about $0.0004 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 2026-08-30.

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