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.
npx skills add XuanRanL/loamwright-SEO-Skill --skill second-opiniongit clone --depth 1 https://github.com/XuanRanL/loamwright-SEO-SkillWrote 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/skills/xuanranl/loamwright-seo-skill/second-opinion)<a href="https://agentmods.dev/skills/xuanranl/loamwright-seo-skill/second-opinion"><img src="https://agentmods.dev/badge/skills/xuanranl/loamwright-seo-skill/second-opinion/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/skills/xuanranl/loamwright-seo-skill/second-opinion"><img src="https://agentmods.dev/badge/skills/xuanranl/loamwright-seo-skill/second-opinion.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Excessive Agency · line 17 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00040 | $0.00345 |
| Opus 5 | $0.00020 | $0.00172 |
| Sonnet 5 | $0.00008 | $0.00069 |
| Haiku 4.5 | $0.00004 | $0.00034 |
Grade A, and why
second-opinion 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 7d 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.
What it actually says
Second Opinion
Independent judgment from a different model (Gemini) than the one that produced content (Claude).
3 modes
review
Same as quality-gate but using different model. Pass/fail gate.
python -m scripts._core.llm_judge --prompt-file task.txt --output-file draft.md \
--criteria "criterion1" "criterion2" --model gemini-2.5-flash --json
challenge
Adversarial: "find what's wrong with this article". Used when an article passed all quality gates but feels suspicious.
consult
Open-ended Q&A: "Is this strategy / decision right?"
When to use
- Pre-publish (when the operator explicitly raises brief.target_review_score above the default 80 — scripts/_core/review_target.py): supplemental review
- Repair Round 5 (from-scratch): get challenge view before accepting
- /init Stage 11 synthesis: consult on whether the project profile is accurate
- /article when target_surfaces includes AI engines (use the actual engine to judge)
Cost
Cheaper than the main Claude Opus call. Gemini 2.5 Flash = $0.30/$2.50 per M tokens. Typical review = $0.01-0.05.
See also
scripts/_core/llm_judge.py(the underlying tool)
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.
- 7d ago First seen · 39 lines · 40 tokens per session scan A fef3b8cebdb2
second-opinion is a skill published in the GitHub repository XuanRanL/loamwright-SEO-Skill (47 stars, last pushed 23d ago), licensed Apache-2.0. It adds 40 tokens to every session and 345 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
requesting-code-review
Pre-commit review: security scan, quality gates, auto-fix.
gitnexus-explorer
Serve an interactive codebase knowledge graph web UI.
continuous-improvement-loop
Run Part 12 of the engagement methodology — the continuous improvement loop that aggregates quarterly-review, customer-feedback, competitive, and operating signals into a Quarterly Product & Offering Improvement Brief for business leadership, plus fast 1-3 page ad-hoc briefs when a significant signal lands…
c2pa-metadata
Embed a C2PA provenance manifest into an AI-generated marketing asset (PNG, JPG, WebP, GIF, TIFF, MP4, MOV, WebM, MP3, WAV, PDF) via scripts/embed-c2pa.py — produces a signed copy of the file carrying IPTC digital-source-type AI claims, an optional c2pa.ai-disclosure assertion for EU AI Act Article 50 (applicable 2…
competitor-pages
Build competitor comparison and alternatives pages — X-vs-Y head-to-heads, alternatives-to-X lists, category roundups, and feature-matrix pages — delivering a 1,500+ word page template, comparison table, JSON-LD schema via schema-generator.py, keyword and title-tag targeting, an internal-linking plan, and…
signal-mine
Triage a raw dump of external material — news, social threads, community discussions, competitor moves, sales-call notes — into content angles the brand has authority to make, each mapped to a pillar with a format and timeliness window, plus an explicit dropped-signals list recording why the rest were rejected.…