Borrowing it
Nothing to install: this file belongs to OneHillAI/ASDD. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/OneHillAI/ASDD/main/.claude/commands/asdd/spec.mdgit clone --depth 1 https://github.com/OneHillAI/ASDDWrote 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/commands/onehillai/asdd/spec)<a href="https://agentmods.dev/commands/onehillai/asdd/spec"><img src="https://agentmods.dev/badge/commands/onehillai/asdd/spec/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/commands/onehillai/asdd/spec"><img src="https://agentmods.dev/badge/commands/onehillai/asdd/spec.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 | $0.00012 | $0.00276 |
| Opus 5.5 | $0.00005 | $0.00110 |
| Sonnet 5.5 | $0.00002 | $0.00055 |
| Haiku 4.5 | $0.00001 | $0.00028 |
Grade A, and why
spec 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.
What it actually says
Turn the request below into a spec object for this project.
$ARGUMENTS
Fill every field ASDD's definition of ready requires: outcomes, scope (in and out), constraints
(including prior decisions), and verification (how "done" is checked). If you cannot fill one, say so
and ask the specific question rather than inventing it.
Write it where this project keeps specs. Read spec_paths: in .asdd.yml and follow it: that list is
what the intake gate matches against, so a spec written anywhere else fails the gate however good it is.
The default is docs/specs/<slug>.md.
Then check it with asdd spec-check <path>. That is the same gate the pipeline runs, so a spec that
passes here passes on the PR.
If the project already uses a spec tool (OpenSpec, Spec Kit), use its output rather than writing a
second spec beside it: run that tool, then make sure spec_paths: covers where it writes (for OpenSpec,
openspec/changes/*/specs/**/*.md). ASDD requires that a spec exists and that the change is checked
against it, not that a particular tool produced it.
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 · 23 lines · 12 tokens per session scan A d3734d52ea13
spec is a command published in the GitHub repository OneHillAI/ASDD (6 stars, last pushed 8d ago), licensed Apache-2.0. It adds 12 tokens to every session and 276 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
devops
Author CI/CD, containers, or IaC following the repo's platform — deploy and secrets flagged for human approval, never executed.
default-ai-review
Extract findings from the provided diff. Rank by severity. Produce a structured review. Emit one recommendation.
merge-conflict-analysis
You are analyzing merge conflicts for PR #${{ pr-number }}.
validate-pr-description
Use when validating a PR title and description for conventional commit format, issue linking keywords, and template compliance before submission.
analyst
Use when performing local analyst review before pushing PR changes. Assesses code quality, impact analysis, and maintainability.
sm-buff
You usually don't run buff directly — run sm sail. sm sail drives the whole PR to green and calls buff watch / triage for you, stopping only when it needs you to act (see /sm-sail). Reach for sm buff here only for surgical work: inspecting a specific failure, or resolving a single review thread when sail has parked on…