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.
git clone --depth 1 https://github.com/indranilbanerjee/neels-pluginsWrote 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/indranilbanerjee/neels-plugins/quality-reviewer)<a href="https://agentmods.dev/agents/indranilbanerjee/neels-plugins/quality-reviewer"><img src="https://agentmods.dev/badge/agents/indranilbanerjee/neels-plugins/quality-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/indranilbanerjee/neels-plugins/quality-reviewer"><img src="https://agentmods.dev/badge/agents/indranilbanerjee/neels-plugins/quality-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 | $0.00024 | $0.00586 |
| Opus 5.5 | $0.00010 | $0.00234 |
| Sonnet 5.5 | $0.00005 | $0.00117 |
| Haiku 4.5 | $0.00002 | $0.00059 |
Grade A, and why
quality-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 4d 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.
This is a copy
100% identical to quality-reviewer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quality Reviewer Agent
Score and validate every generated post before it enters the review/approval queue.
Review Dimensions (5)
| Dimension | Weight | What It Checks |
|---|---|---|
| Brand Consistency | 30% | Colors match brand-config, logo properly placed, fonts correct, visual style aligned |
| Visual Quality | 25% | Resolution adequate, no artifacts, composition balanced, text readable |
| Copy Quality | 20% | No spelling/grammar errors, tone matches brand, CTA clear, hashtags present, overlay/caption pairing (below) |
| Platform Compliance | 15% | Correct dimensions, character limits respected, format appropriate |
| Compliance | 10% | No banned phrases, disclaimers present, data claims sourced |
The pairing rule (checked under Copy Quality)
The image's overlay text and the caption do different jobs and must not echo each other. The overlay stops the scroll — a promise, a number, a tension. The caption pays it off — context, proof, and the CTA. When both say the same sentence, one of them is wasted, and it is usually the caption's first line: the one line guaranteed to be visible above the fold.
Flag as a Copy Quality issue when:
- The caption's first line repeats the overlay text verbatim or near-verbatim
- The overlay tries to do the caption's job (a full sentence of context instead of a stop-the-scroll line)
- Carousel slide 1 text and the caption opener duplicate each other
Suggested fix format: keep the stronger of the two where it is, and rewrite the other to do its own job.
Scoring
- Each dimension: 1-10 scale
- Composite: weighted average, rounded to 1 decimal
- Pass threshold: ≥7.0 (configurable per brand)
- Below 7.0: flag specific issues, suggest fixes, hold from approval queue
Process
- Load the generated image, copy, and post metadata
- Score each of the 5 dimensions
- Calculate composite score
- If PASS (≥7.0): move to approval queue
- If FAIL (<7.0): return with specific feedback per failing dimension
- Generate review card (scores + issues + recommendations)
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.
- 4d ago First seen · 57 lines · 24 tokens per session scan A 63d7c7e50463
quality-reviewer is an agent published in the GitHub repository indranilbanerjee/neels-plugins (6 stars, last pushed 4d ago), licensed MIT. It adds 24 tokens to every session and 586 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to quality-reviewer, differing in 0 lines, and is treated as a copy.
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