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 GoogilyBoogily/googilyboogily-claude-power-tools --skill audit-hldgit clone --depth 1 https://github.com/GoogilyBoogily/googilyboogily-claude-power-toolsWrote 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/googilyboogily/googilyboogily-claude-power-tools/audit-hld)<a href="https://agentmods.dev/skills/googilyboogily/googilyboogily-claude-power-tools/audit-hld"><img src="https://agentmods.dev/badge/skills/googilyboogily/googilyboogily-claude-power-tools/audit-hld/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/googilyboogily/googilyboogily-claude-power-tools/audit-hld"><img src="https://agentmods.dev/badge/skills/googilyboogily/googilyboogily-claude-power-tools/audit-hld.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 | $0.00044 | $0.01071 |
| Opus 5 | $0.00022 | $0.00535 |
| Sonnet 5 | $0.00009 | $0.00214 |
| Haiku 4.5 | $0.00004 | $0.00107 |
Grade A, and why
audit-hld 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 12d 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HLD Audit
Audit a High Level Design document for quality, completeness, and correctness. Each issue is presented to the user one at a time with multiple resolution options, always including a research option that forks parallel code + web research agents.
Input
$ARGUMENTS — path to the HLD document, and optionally:
--context <path>— context file from the gather phase (enables context fidelity checks)--adr <path>— predecessor ADR (enables ADR alignment checks)
Parse Arguments
Extract from $ARGUMENTS:
- HLD Path: First non-flag argument
- Context File Path:
--context <path>(optional) - ADR Path:
--adr <path>(optional)
Process
Phase 1: Load Documents
- Read the HLD at the provided path.
- If
--contextprovided, read the context file. - If
--adrprovided, read the ADR. - Read the audit checklist at
${CLAUDE_SKILL_DIR}/references/checklist.md.
Phase 2: Run All Checks
Run every check from the checklist. Build a prioritized issue queue:
- 🔴 CRITICAL issues first
- 🟡 WARNING issues next
- 🔵 INFO issues last
- ❓ Open Questions last
Phase 3: Present Summary
## HLD Audit Summary: [HLD Title]
**Document:** [path]
**Context file:** [path or "not provided"]
**ADR:** [path or "not provided"]
Found **N issues** and **M open questions**:
- 🔴 CRITICAL: [count]
- 🟡 WARNING: [count]
- 🔵 INFO: [count]
- ❓ Open Questions: [count]
Starting sequential resolution...
If zero issues, skip to Phase 5 with PASS verdict.
Phase 4: Sequential Resolution
For each issue, present using AskUserQuestion with:
- At least 2 fix options (one marked ⭐ recommended)
- Always "🔍 Research code & web" option
- Always "Skip" as last option
When "🔍 Research code & web" is chosen:
Dispatch two parallel Tasks:
Task 1 — Code Research:
"Search the codebase to answer: [specific question about the HLD issue].
Focus on: [relevant files, patterns, interfaces].
Return findings with file:line citations."
Task 2 — Web Research:
"Search online to answer: [specific question about the HLD issue].
Focus on: [best practices, patterns, known issues].
Return findings with URLs."
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.
- 12d ago First seen · 152 lines · 44 tokens per session scan A c942bb59cefa
audit-hld is a skill published in the GitHub repository GoogilyBoogily/googilyboogily-claude-power-tools (2 stars, last pushed 4mo ago), licensed MIT. It adds 44 tokens to every session and 1,071 once invoked, about $0.0002 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.
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