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 Abilityai/abilities --skill validate-architecturegit clone --depth 1 https://github.com/Abilityai/abilitiesWrote 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/abilityai/abilities/validate-architecture)<a href="https://agentmods.dev/skills/abilityai/abilities/validate-architecture"><img src="https://agentmods.dev/badge/skills/abilityai/abilities/validate-architecture/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/abilityai/abilities/validate-architecture"><img src="https://agentmods.dev/badge/skills/abilityai/abilities/validate-architecture.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 | $0.00042 | $0.01133 |
| Opus 5.5 | $0.00017 | $0.00453 |
| Sonnet 5.5 | $0.00008 | $0.00227 |
| Haiku 4.5 | $0.00004 | $0.00113 |
Grade A, and why
validate-architecture 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 1mo 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Validate Architecture
ℹ️ First, set expectations: before anything else, print one short line with this skill's version and its most recent change — the top entry of
metadata.changelogabove — e.g.validate-architecture vX.Y — recent: <summary>. Then proceed.
Validate the live codebase against the architectural invariants documented in docs/memory/architecture.md. Produces a violations report. Run weekly or before any major release.
State Dependencies
| Source | Location | Read | Write | Description |
|---|---|---|---|---|
| Architecture | docs/memory/architecture.md |
✅ | Invariants and patterns | |
| Source code | src/ |
✅ | Implementation to validate | |
| Validation report | docs/reports/architecture-{date}.md |
✅ | Saved output |
Process
Step 1: Read Architecture Invariants
Read docs/memory/architecture.md and extract:
- Layer boundaries (what can import what)
- Naming conventions (file names, class names, function names)
- API pattern requirements (auth, versioning, error format)
- Database access rules (which layers can query directly)
- Any explicitly documented invariants or constraints
Step 2: Naming Conventions
Check that files, classes, functions, and modules follow documented naming patterns.
# Example: check for files that violate snake_case convention in Python
find src/ -name "*.py" | grep -E '[A-Z]' | grep -v '__pycache__'
# Example: check route handler naming
grep -rn "def [A-Z]" src/api/ 2>/dev/null
Flag deviations from documented conventions.
Severity: INFORMATIONAL (unless architecture.md marks as REQUIRED)
Step 3: Layer Dependency Directions
Verify that imports respect documented layer boundaries. For example, if architecture specifies "routers never import from other routers directly":
# Check for cross-imports between router modules
grep -rn "from.*router import\|import.*router" src/api/routers/ | grep -v "^.*#"
Adapt the checks to the actual layer boundaries defined in architecture.md.
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.
- 1mo ago First seen · 143 lines · 42 tokens per session scan A 2dec434ff2b4
validate-architecture is a skill published in the GitHub repository Abilityai/abilities (12 stars, last pushed 3d ago), licensed MIT. It adds 42 tokens to every session and 1,133 once invoked, about $0.0002 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 2026-09-07.
Other skills, from other repositories
autoreview
Structured code review through the shared OpenClaw agent-skills installation.
omh-code-review
This is an OMH code-review workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).
revdiff-plan
Review the last Codex assistant message (plan, analysis, or proposal) with inline annotations in a TUI overlay. Extracts the most recent response from Codex rollout files and opens it in revdiff for review and annotation. Activates on "revdiff-plan", "review plan with revdiff", "annotate plan", "review last response"…
asplos-writing-style
Use when drafting or revising ASPLOS prose — engineering the first two pages that rapid review actually reads, stating the cross-layer insight as one quotable sentence, structuring per-layer mechanism sections, writing bounded claims, and fitting everything into 11 self-contained pages that include figures and…
explore-unknowns
Guide the user through a quadrant walk that maps the unknowns of a task — open by listing the known knowns, then work through known unknowns, unknown knowns, and unknown unknowns one stage at a time, ending with a complete four-quadrant map in the user's hands. Use when a request is ambiguous or underspecified, the…
re0-merge
Review and land an external contribution the way this suite does: gate it against the thesis, land it with the author's credit intact, complete a new skill rather than merging it raw, then approve, credit, and explain before closing. Use when reviewing a pull request, as any collaborator or maintainer, not only the…