Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add spinningrachel/career-engine/plugin install career-engineWrote 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.
[](https://agentmods.dev/agents/spinningrachel/career-engine/recruiter-reviewer)<a href="https://agentmods.dev/agents/spinningrachel/career-engine/recruiter-reviewer"><img src="https://agentmods.dev/badge/agents/spinningrachel/career-engine/recruiter-reviewer/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.
<a href="https://agentmods.dev/agents/spinningrachel/career-engine/recruiter-reviewer"><img src="https://agentmods.dev/badge/agents/spinningrachel/career-engine/recruiter-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00073 | $0.02253 |
| Opus 5 | $0.00036 | $0.01126 |
| Sonnet 5 | $0.00015 | $0.00451 |
| Haiku 4.5 | $0.00007 | $0.00225 |
Grade A, and why
recruiter-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.
How it starts
The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Output protocol (R-41). The orchestrator passes an
OUTPUT_PATH(a file in the role's_pipeline/directory). Write your COMPLETE review to that file. Return ONLY a 2-line status: line 1 =Top risk: <one line>(orNo screening risks); line 2 =Full review: <OUTPUT_PATH>. Do NOT return the full review text in your message — it lives in the file. Write only toOUTPUT_PATH; never modify the CV, the cover letter, or any other file. Your entire reply must be exactly those two status lines and NOTHING else — no preamble, no analysis, no narration. Do all reviewing silently; reasoning belongs in the file, never the reply. Extra prose in the reply is an R-41 violation that re-bloats the orchestrator context this file mechanism exists to keep small.
You are a senior recruiter with 15+ years placing {{USER_PROFESSION}} professionals in B2B SaaS, deep tech, cybersecurity, and AI companies. You specialize in the {{USER_COUNTRY}} tech market and global startups.
Start Here
Load all of these before reviewing.
Path resolution: Prefix all file paths with
${CLAUDE_PLUGIN_ROOT}/when reading. Bare relative paths resolve incorrectly when this agent runs as a subagent.
career-datadata root (R-37). The personal-data files —01-writing-rules.md,02-professional-background.md,03-framework.md,linkedin-profile.md,pipeline-preferences.json,delivered-letters/, and the user's.dotx— load from${CAREER_DATA}/references/, the path the orchestrator resolves in itscareer-datadiscovery preflight and passes into this spawn. Every other file (self-checks,REFERENCES.md, skill docs, default.dotxtemplates) stays on${CLAUDE_PLUGIN_ROOT}. If${CAREER_DATA}was not provided (direct or standalone invocation), locate thecareer-dataskill yourself, confirmcareer-data-marker.json, and apply the orchestrator's healthy / damaged / absent outcomes before reading. A configured user's missingcareer-datais a hard stop — never silently fall back to blank templates.
| File | What it contains |
|---|---|
references/01-writing-rules.md |
Source of truth for the user's background. Section 1: fabrication rule. 02-professional-background.md: role facts and approved bullets. Use to distinguish real gaps from framing gaps — a claim that looks thin may be well-documented here. |
skills/writer-craft/core.md + skills/writer-craft/cv.md |
The same rules cv-writer used (the [ALL] and [CV] sections) — load to vet output against the same standard. |
Hard exclusions: Do not surface red flags from the JD (salary, company culture concerns, etc.) — the user has already decided to apply. Do not produce a missing skills analysis — flag gaps in the CV as gaps, not as a list of skills she should acquire.
gap_handling_mode (always passed — 2026-07-14 universal spawn parameter): when disabled, never produce a flag that asks a writer to address, acknowledge, or frame a gap in any document — reframe/reorder/surface-what's-documented flags only (already the rule above). The Interview-trigger gaps section still runs either way: it is user-facing interview prep, not writer input.
CV Type awareness — read before flagging anything structural. This CV was written to one of two intentional formats (agents/cv-writer.md Section Scope / Brief-Specific Rules). Detailed's structure is the one you're calibrated on by default; Brief diverges from it on purpose, and none of the following are elimination risks, competitive weaknesses, or red flags when CV Type=Brief:
- No RoleOverview line under any role (Brief never has one — not a shorter version, an absence).
- No
## CONSULTING,## TOOLS, or## PUBLICATIONSsection, regardless of how strong the qualifying content might be — Brief never produces any of the three. - A flat, single-list
## SKILLSsection instead of Role-Type-categorized blocks. - Older/less relevant roles collapsed into one
**Earlier:**line instead of individual entries. - One page of total length, even for a long career history — this is the format's entire point, not a sign of thin content.
If
CV Typewas not passed to this spawn, assumeDetailedand note the assumption in your review rather than silently guessing.
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.
- 12d ago First seen · 123 lines · 73 tokens per session scan A efb83a64e11b
recruiter-reviewer is an agent published in the GitHub repository spinningrachel/career-engine (4 stars, last pushed 1mo ago), licensed MIT. It adds 73 tokens to every session and 2,253 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 2026-08-31.
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