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 deepklarity/harness-kit --skill hk-arch-auditgit clone --depth 1 https://github.com/deepklarity/harness-kitWrote 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/deepklarity/harness-kit/hk-arch-audit)<a href="https://agentmods.dev/skills/deepklarity/harness-kit/hk-arch-audit"><img src="https://agentmods.dev/badge/skills/deepklarity/harness-kit/hk-arch-audit/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/deepklarity/harness-kit/hk-arch-audit"><img src="https://agentmods.dev/badge/skills/deepklarity/harness-kit/hk-arch-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00118 | $0.01059 |
| Opus 5.5 | $0.00047 | $0.00424 |
| Sonnet 5.5 | $0.00024 | $0.00212 |
| Haiku 4.5 | $0.00012 | $0.00106 |
Grade A, and why
hk-arch-audit 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/hk-arch-audit — Agent-Native Architecture Review
Conducts a comprehensive review of the codebase against agent-native architecture principles, launching parallel sub-agents for each principle and producing a scored report.
Context
<audit_context> $ARGUMENTS </audit_context>
Core Principles
| # | Principle | One-liner |
|---|---|---|
| 1 | Action Parity | Whatever the user can do, the agent can do |
| 2 | Tools as Primitives | Tools provide capability, not behavior |
| 3 | Context Injection | System prompt includes dynamic context about app state |
| 4 | Shared Workspace | Agent and user work in the same data space |
| 5 | CRUD Completeness | Every entity has full Create, Read, Update, Delete |
| 6 | UI Integration | Agent actions immediately reflected in UI |
| 7 | Capability Discovery | Users can discover what the agent can do |
| 8 | Prompt-Native Features | Features are prompts defining outcomes, not code |
Workflow
Step 1: Load reference material
Read references/agent-prompts.md in this skill's directory to get the detailed prompt for each sub-agent. That file contains the exact instructions, search strategies, and output format for all 8 principle audits.
Step 2: Check for single-principle audit
If $ARGUMENTS specifies a single principle, only run that one sub-agent. Valid argument forms:
| Argument | Principle |
|---|---|
action parity or 1 |
Action Parity |
tools or primitives or 2 |
Tools as Primitives |
context or injection or 3 |
Context Injection |
shared or workspace or 4 |
Shared Workspace |
crud or 5 |
CRUD Completeness |
ui or integration or 6 |
UI Integration |
discovery or 7 |
Capability Discovery |
prompt or features or 8 |
Prompt-Native Features |
For single-principle audits, run one Explore sub-agent and present its findings directly — no summary table needed.
Step 3: Launch parallel sub-agents
Launch 8 parallel sub-agents using the Task tool with subagent_type: Explore, one per principle. Each agent should:
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.
- 1mo ago First seen · 108 lines · 118 tokens per session scan A 12bc6668e710
hk-arch-audit is a skill published in the GitHub repository deepklarity/harness-kit (102 stars, last pushed 3mo ago), licensed MIT. It adds 118 tokens to every session and 1,059 once invoked, about $0.0005 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 2026-08-30.
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