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 vignesh2027/AI-AGENT-SKILLS --skill documentation-and-adrsgit clone --depth 1 https://github.com/vignesh2027/AI-AGENT-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/vignesh2027/ai-agent-skills/documentation-and-adrs)<a href="https://agentmods.dev/skills/vignesh2027/ai-agent-skills/documentation-and-adrs"><img src="https://agentmods.dev/badge/skills/vignesh2027/ai-agent-skills/documentation-and-adrs/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/vignesh2027/ai-agent-skills/documentation-and-adrs"><img src="https://agentmods.dev/badge/skills/vignesh2027/ai-agent-skills/documentation-and-adrs.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 | $0.00015 | $0.00710 |
| Opus 5.5 | $0.00006 | $0.00284 |
| Sonnet 5.5 | $0.00003 | $0.00142 |
| Haiku 4.5 | $0.00002 | $0.00071 |
Grade A, and why
documentation-and-adrs 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 2mo 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Documentation that is wrong is worse than no documentation — it confidently misleads. This skill writes documentation that is minimal, accurate, and maintained. It also captures architectural decisions (ADRs) so future engineers understand why the system is the way it is.
When to Use
- Before shipping a new feature or API
- When changing a public interface
- When making an architectural decision that is hard to reverse
- When documenting a non-obvious system behavior
Process
Step 1: Audience-first
Before writing: who is the reader? What do they already know? What do they need to do after reading this? Write for that person, not for yourself.
Step 2: Document the why, not just the what
The code describes what. The documentation must describe: why this design, what was rejected, what trade-offs were made. This is what prevents future engineers from "improving" something that can't be improved.
Step 3: README structure
Good README:
- What is this? (one sentence)
- Why does it exist? (one paragraph)
- Quick start (the first 5 minutes)
- Core concepts (only what's non-obvious)
- Reference (exhaustive, machine-readable if possible)
- Contributing (link to CONTRIBUTING.md)
Step 4: API documentation
For every public API endpoint or function:
- Purpose (one sentence)
- Parameters: name, type, constraints, required/optional
- Return value: type, shape, possible values
- Error cases: what errors can occur and when
- Example: one complete working example
Step 5: Architecture Decision Records (ADRs)
Write an ADR for every decision that is:
- Hard to reverse
- Non-obvious in its rationale
- Likely to be questioned by a future engineer
ADR format:
# ADR-NNN: [Short Title]
## Status
[Proposed | Accepted | Deprecated | Superseded by ADR-NNN]
## Context
[What situation led to this decision?]
## Decision
[What was decided?]
## Alternatives Considered
[What else was evaluated and why was it rejected?]
## Consequences
[What becomes easier or harder as a result?]
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.
- 2mo ago First seen · 91 lines · 15 tokens per session scan A f749d7855022
documentation-and-adrs is a skill published in the GitHub repository vignesh2027/AI-AGENT-SKILLS (2 stars, last pushed 2mo ago), licensed MIT. It adds 15 tokens to every session and 710 once invoked, about $0.0001 per session on Opus 5.5. 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.
documentation-and-adrs compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| documentation-and-adrsvignesh2027/AI-AGENT-SKILLS | Skill | 2 | 2mo ago | MIT | A | 15 | Claude Code, Codex |
| cw-gatesHmbown/Codewhale | Skill | 41k | 1mo ago | MIT | A | 48 | Claude Code, Codex |
| feishuHmbown/CodeWhale | Skill | 41k | 6d ago | MIT | A | 33 | Claude Code, Codex |
| eval-dataset-designbojieli/ai-agent-book | Skill | 57k | 1mo ago | Apache-2.0 | A | 138 | Claude Code, Codex |
| memory-systembojieli/ai-agent-book | Skill | 57k | 1mo ago | Apache-2.0 | A | 95 | Claude Code, Codex |
| release-helperSahir619/fable-method | Skill | 2.3k | 1mo ago | MIT | A | 43 | Claude Code |
| loongsuite-pilot-insightalibaba/loongsuite-pilot | Skill | 242 | yesterday | Apache-2.0 | A | 111 | Claude Code, Codex |