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 alivirgo/Major-AI-Skills --skill cite-specific-section-numbersgit clone --depth 1 https://github.com/alivirgo/Major-AI-SkillsWrote 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/alivirgo/major-ai-skills/cite-specific-section-numbers)<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/cite-specific-section-numbers"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/cite-specific-section-numbers/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/alivirgo/major-ai-skills/cite-specific-section-numbers"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/cite-specific-section-numbers.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 | $0.00022 | $0.01050 |
| Opus 5 | $0.00011 | $0.00525 |
| Sonnet 5 | $0.00004 | $0.00210 |
| Haiku 4.5 | $0.00002 | $0.00105 |
Grade A, and why
cite-specific-section-numbers 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 today.
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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ask AI to Cite Section & Clause Numbers (AI Skill)
Overview
When analyzing a 60-page PDF, API specification, employee handbook, or vendor contract, generic AI summaries often make claims like "The policy allows 15 days of remote work." Without exact section citations, you have to spend 20 minutes manually searching the document to confirm whether the model understood the clause or confused it with vacation rollover.
The Section-Anchored Citation Protocol forces the AI to bind every fact, rule, and recommendation directly to an exact chapter, clause number, or header title.
The Section-Anchored Citation Architecture
┌─────────────────────────────────────────────────────────────┐
│ Section-Anchored Audit Flow │
│ │
│ Unanchored Summary: │
│ "Contract has a 30-day termination notice requirement." │
│ ↳ Unverifiable $\rightarrow$ High liability risk │
│ │
│ Section-Anchored Summary: │
│ "• [Section 8.4(b), Page 22]: Either party may terminate │
│ with 30 days written notice, subject to early exit fee."│
│ ↳ 1-Second Instant Verification in Original Document │
└─────────────────────────────────────────────────────────────┘
Master Section-Citation Prompt Templates
Pattern 1: The Strict Section-Anchored Policy Audit
Use this for compliance frameworks, legal contracts, manuals, and bylaws:
Analyze the attached document: [ATTACH DOCUMENT / PASTE TEXT].
Answer the following question: [INSERT QUESTION]
Strict Formatting Rules:
1. Every claim, rule, or restriction you mention MUST start with the exact bracketed section identifier: `[Section X.X / Header Title / Page Y]`.
2. Include a 1-sentence verbatim quotation directly from that section to substantiate the point.
3. If the document does not explicitly mention this topic, output: "NOT SPECIFIED IN DOCUMENT". Do not extrapolate.
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.
- today Changed · -12 tokens per session ce2d31ac8838
- 6d ago First seen · 94 lines · 34 tokens per session scan A 59d347cc7a79
cite-specific-section-numbers is a skill published in the GitHub repository alivirgo/Major-AI-Skills (1 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 1,050 once invoked, about $0.0001 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 2026-09-05.
Other skills, from other repositories
akf-trust-metadata-v2
AKF — The AI Native File Format workflow skill. Use this skill when the user needs The AI native file format. EXIF for AI — stamps every file with trust scores, source provenance, and compliance metadata. Embeds into 20+ formats (DOCX, PDF, images, code). EU AI Act, SOX, HIPAA auditing and the operator should preserve…
akf-trust-metadata
AKF — The AI Native File Format workflow skill. Use this skill when the user needs The AI native file format. EXIF for AI — stamps every file with trust scores, source provenance, and compliance metadata. Embeds into 20+ formats (DOCX, PDF, images, code). EU AI Act, SOX, HIPAA auditing and the operator should preserve…
akf-trust-metadata
The AI native file format. EXIF for AI — stamps every file with trust scores, source provenance, and compliance metadata. Embeds into 20+ formats (DOCX, PDF, images, code). EU AI Act, SOX, HIPAA auditing.
research-ops
Use when someone hands you an open question whose answer must survive scrutiny — a tech choice, a regulation, a what-is-actually-true-about-X — with every non-obvious claim dated and sourced, source disagreements surfaced rather than averaged away, and a cited memo as the deliverable. Also for refreshing a stale…
compliance
Use when scoping which regulatory frameworks bind a business — SOC 2, ISO 27001, HIPAA, PCI DSS, EU AI Act, DORA, NIS2 — building a control register with owners and evidence, or standing up the cadence that keeps it audit-ready. NOT drafting privacy-policy/ROPA/DPA or ToS text (that is gdpr-privacy, terms-conditions)…
performing-soc2-type2-audit-preparation
Automates SOC 2 Type II audit preparation including gap assessment against AICPA Trust Services Criteria (CC1-CC9), evidence collection from cloud providers and identity systems, control testing validation, remediation tracking, and continuous compliance monitoring. Covers all five TSC categories (Security…