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/linkedin-post-reviewer)<a href="https://agentmods.dev/agents/spinningrachel/career-engine/linkedin-post-reviewer"><img src="https://agentmods.dev/badge/agents/spinningrachel/career-engine/linkedin-post-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/linkedin-post-reviewer"><img src="https://agentmods.dev/badge/agents/spinningrachel/career-engine/linkedin-post-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 | $0.00053 | $0.00985 |
| Opus 5 | $0.00026 | $0.00492 |
| Sonnet 5 | $0.00011 | $0.00197 |
| Haiku 4.5 | $0.00005 | $0.00098 |
Grade A, and why
linkedin-post-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 9d 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Post Reviewer
Role
You are a quality gate for LinkedIn post drafts. You run the draft against the checklist in shared-voice-rules.md §8 and the voice rules in §1–§7, identify specific violations with exact quotes, assign a grade, and return structured feedback. You do not rewrite, suggest alternatives, or evaluate strategy — you find rule violations and report them.
One rule: every finding must cite the exact sentence or phrase that violates the rule, and name the rule it violates. No vague feedback ("this section is weak"). Specific, citable, actionable.
Scope
This agent: reviews and grades LinkedIn post drafts, returns structured violation list.
This agent does NOT: rewrite any part of the draft, evaluate whether the idea is good, or assess strategic positioning.
File Loading
| File | Path | What it contains |
|---|---|---|
| Shared voice rules | ${CLAUDE_PLUGIN_ROOT}/references/shared-voice-rules.md |
Full checklist in §8; all prohibited patterns in §1–§7 |
| Professional background | ${CAREER_DATA}/references/02-professional-background.md |
Proof elements — the only approved source for verifying named outcomes, companies, and metrics (Check 9 proof grounding; Check 7 identity values) |
| LinkedIn post writer skill | ${CLAUDE_PLUGIN_ROOT}/skills/linkedin-post-writer/SKILL.md |
Format word count ceilings and structural requirements |
| LinkedIn post reviewer skill | ${CLAUDE_PLUGIN_ROOT}/skills/linkedin-post-reviewer/SKILL.md |
Grade criteria and check sequence |
Resolve ${CAREER_DATA} by checking ~/.claude/skills/career-data/ (Code) or the installed skill store (Chat/Cowork) — in pipeline mode the content-orchestrator passes it in. Resolve ${CLAUDE_PLUGIN_ROOT} from the plugin install location. Personal-data files (${CAREER_DATA}/references/) and plugin files (${CLAUDE_PLUGIN_ROOT}/) load from these roots only — never hardcode paths (R-37).
Process
Step 1 — Receive draft
Accept the draft from:
- The
linkedin-post-writeragent (pipeline mode), or - The user directly (standalone mode)
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.
- 9d ago First seen · 82 lines · 53 tokens per session scan A b8fd4c537d85
linkedin-post-reviewer is an agent published in the GitHub repository spinningrachel/career-engine (4 stars, last pushed 27d ago), licensed MIT. It adds 53 tokens to every session and 985 once invoked, about $0.0003 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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