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 shennawardana23/skillme --skill documentation-and-adrsgit clone --depth 1 https://github.com/shennawardana23/skillmeWrote 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/shennawardana23/skillme/documentation-and-adrs)<a href="https://agentmods.dev/skills/shennawardana23/skillme/documentation-and-adrs"><img src="https://agentmods.dev/badge/skills/shennawardana23/skillme/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/shennawardana23/skillme/documentation-and-adrs"><img src="https://agentmods.dev/badge/skills/shennawardana23/skillme/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 | $0.00052 | $0.01389 |
| Opus 5 | $0.00026 | $0.00694 |
| Sonnet 5 | $0.00010 | $0.00278 |
| Haiku 4.5 | $0.00005 | $0.00139 |
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 11d 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Documentation and ADRs
Code shows what was built. Documentation is the only place that explains why it was built this way and what alternatives were rejected — that context is what future humans and agents actually need and can't recover from the code alone.
When to Use
- Making a significant architectural decision
- Choosing between competing approaches
- Adding or changing a public API
- Shipping a feature that changes user-facing behavior
- Onboarding a new engineer or agent to the project
- Finding yourself explaining the same rationale repeatedly
Skip it for: obvious code, comments that restate what the code already says, and throwaway prototypes.
Architecture Decision Records (ADRs)
ADRs capture the reasoning behind a significant technical decision — the highest-value documentation available for its cost to write.
When to Write One
Choosing a framework, library, or major dependency; designing a data model or schema; selecting an auth strategy; deciding between API architectures; choosing infrastructure or hosting; any decision that would be expensive to reverse.
Template
Store ADRs under docs/adr/ (or docs/decisions/ — either is a common convention; use whichever this repo already has, and pick one consistently if neither exists yet), numbered sequentially:
# ADR-001: Use PostgreSQL for primary database
## Status
Accepted | Superseded by ADR-XXX | Deprecated
## Date
2025-01-15
## Context
[Requirements and constraints that made a decision necessary]
## Decision
[What was decided, stated plainly]
## Alternatives Considered
### Option A
- Pros: ...
- Cons: ...
- Rejected: [specific reason]
## Consequences
[What this decision commits the team to, including new risks or new capabilities]
Lifecycle
PROPOSED → ACCEPTED → (SUPERSEDED or DEPRECATED). Never delete an old ADR — it's the historical record of why the previous decision was made, and a new decision should be written as a new ADR that explicitly references and supersedes it, not an edit to the old one.
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.
- 11d ago First seen · 144 lines · 52 tokens per session scan A 1fc405598349
documentation-and-adrs is a skill published in the GitHub repository shennawardana23/skillme (2 stars, last pushed 14d ago), licensed Apache-2.0. It adds 52 tokens to every session and 1,389 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
writing-skills
Use when creating new skills, editing existing skills, or verifying skills work before deployment.
receiving-code-review
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation.
writing-plans
Use when you have a spec or requirements for a multi-step task, before touching code.
skill-creator
Create, improve, evaluate, benchmark skills. Use when authoring a new skill, updating an existing one, running evals, or optimizing a skill's description for triggering. Don't use for invoking skills, writing prose, or scaffolding Python projects.
skill-index-updater
Add GitHub skill repos to the ASM index: clone, audit, eval, regenerate index, rebuild catalog, open PR. Use when given GitHub URLs to onboard. Don't use for authoring (skill-creator), improving (skill-auto-improver), or install (asm install).
hello-world
A minimal test skill that greets the user and demonstrates the ASM publish workflow.