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 sandeepshekhar26/develop-anything --skill aukgit clone --depth 1 https://github.com/sandeepshekhar26/develop-anythingWrote 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/sandeepshekhar26/develop-anything/auk)<a href="https://agentmods.dev/skills/sandeepshekhar26/develop-anything/auk"><img src="https://agentmods.dev/badge/skills/sandeepshekhar26/develop-anything/auk/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/sandeepshekhar26/develop-anything/auk"><img src="https://agentmods.dev/badge/skills/sandeepshekhar26/develop-anything/auk.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 | $0.00049 | $0.00330 |
| Opus 5.5 | $0.00020 | $0.00132 |
| Sonnet 5.5 | $0.00010 | $0.00066 |
| Haiku 4.5 | $0.00005 | $0.00033 |
Grade A, and why
auk 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
auk — AI context engineering
auk (npx -y auk-develop) generates, verifies, and compiles AI context from
the actual codebase.
Commands
auk generate— analyze code →.auk/rules.yaml,graph.json,semantic.json, compiled context filesauk verify— re-check every rule against current code; reports context rotauk review --diff <ref>— architectural diff review (layer violations, new cycles, god objects)auk enhance --emit/--apply <json>— LLM enhancement loop (you write the JSON)auk graph --open— interactive dependency/call-graph viewerauk mcp— MCP server (tools: get_rules, get_architecture, get_call_graph, get_dependencies, get_enhancement_tasks, apply_enhancements, …)
Conventions
.auk/rules.yaml,graph.json,decisions.yaml,semantic.jsonshould be committed;.auk/cache.jsonand.auk/prompts/gitignored.- Never hand-edit compiled outputs (CLAUDE.md etc.); change rules and run
auk compile. - When enhancing rules, never alter ids, severities, or verification blocks — only descriptions/rationales via the response schema.
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 · 49 tokens per session scan A 4f5a4440ad0f
auk is a skill published in the GitHub repository sandeepshekhar26/develop-anything (18 stars, last pushed 4mo ago), licensed MIT. It adds 49 tokens to every session and 330 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 2026-08-30.
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