Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/terrylica/cc-skillsnpx agentmods add skills/terrylica/cc-skills/documentation-standardsWrote 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/terrylica/cc-skills/documentation-standards)<a href="https://agentmods.dev/skills/terrylica/cc-skills/documentation-standards"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/documentation-standards.svg" alt="Measured on agentmods" 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 Rogue Agent · line 216 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 | $0.00029 | $0.01537 |
| Opus 5 | $0.00015 | $0.00768 |
| Sonnet 5 | $0.00006 | $0.00307 |
| Haiku 4.5 | $0.00003 | $0.00154 |
Grade A, and why
documentation-standards 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 3d 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 — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Documentation Standards
Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.
Overview
Standards for writing markdown documentation optimized for both LLM consumption and conversion to professional PDFs using Pandoc. Ensures consistency across all documentation.
When to Use This Skill
Use when:
- Writing markdown documentation (README, skills, guides, specifications)
- Creating new skills that include markdown content
- Authoring content that may be converted to PDF
- Reviewing documentation for standards compliance
Core Principles
1. LLM-Optimized Documentation Architecture
Machine-Readable Priority: OpenAPI 3.1.0 specs, JSON Schema, YAML specifications take precedence over human documentation.
Why: Structured formats provide unambiguous contracts that both humans and LLMs can consume reliably. Human docs supplement, don't replace, machine-readable specs.
Application:
- Workflow specifications → OpenAPI 3.1.1 YAML in specifications/
- Data schemas → JSON Schema with examples
- Configuration → YAML with validation schemas
- Human docs → Markdown referencing canonical machine-readable specs
2. Hub-and-Spoke Progressive Disclosure
Pattern: Central hubs (like CLAUDE.md, INDEX.md) link to detailed spokes (skills, docs directories).
Structure:
CLAUDE.md (Hub - Essentials Only)
↓ links to
Skills (Spokes - Progressive Disclosure)
├── SKILL.md (Overview + Quick Start)
└── references/ (Detailed Documentation)
Rules:
- Hubs contain essentials only (what + where to find more)
- Spokes contain progressive detail (load as needed)
- Single source of truth per topic (no duplication)
3. Markdown Section Numbering
Critical Rule: Never manually number markdown headings.
❌ Wrong:
## 1. Introduction
### 1.1 Background
### 1.2 Objectives
## 2. Implementation
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 3d ago First seen · 219 lines · 29 tokens per session scan A 709d2fe76788
documentation-standards is a skill published in the GitHub repository terrylica/cc-skills (62 stars, last pushed yesterday), licensed MIT. It adds 29 tokens to every session and 1,537 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.
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