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 ck3938700-ship-it/anjian-agent --skill anjian-auditgit clone --depth 1 https://github.com/ck3938700-ship-it/anjian-agentWrote 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/ck3938700-ship-it/anjian-agent/anjian-audit)<a href="https://agentmods.dev/skills/ck3938700-ship-it/anjian-agent/anjian-audit"><img src="https://agentmods.dev/badge/skills/ck3938700-ship-it/anjian-agent/anjian-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/ck3938700-ship-it/anjian-agent/anjian-audit"><img src="https://agentmods.dev/badge/skills/ck3938700-ship-it/anjian-agent/anjian-audit.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 | $0.00023 | $0.00553 |
| Opus 5 | $0.00012 | $0.00277 |
| Sonnet 5 | $0.00005 | $0.00111 |
| Haiku 4.5 | $0.00002 | $0.00055 |
Grade A, and why
anjian-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 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 — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AnJian authorized website assessment
Use this skill when the user asks to assess, audit, scan, baseline, or retest a website with AnJian.
One-URL default workflow
When the user gives a URL and asks to assess, audit, scan, test, or generate a security report:
- Call
anjian_quick_assessimmediately with only that URL. - Do not call doctor, capability planning, assessment creation, or ask the old multi-question intake first.
- The Python tool enforces a reusable exact-target authorization that the user must have registered interactively in a local terminal.
- If it returns
authorization_requiredorauthorization_expired, no network action occurred. Show only the returned one-time setup command. - If it completes, summarize the stages and give the Markdown
report_path.
MCP and Claude must never create or silently broaden a reusable authorization profile.
Workflow
- Prefer
anjian_quick_assessfor the ordinary one-URL request. - Use the manual tools below only when the user explicitly asks for a custom workflow or supplies extra evidence/source paths.
- Call
anjian_create_assessmentonly for a custom assessment not covered by a registered quick profile. - Use
passiveonly when the user asked for public context without target connections. - Use Burp XML/HAR and PCAP only when the user provides a local file path; use source scan only for an explicitly authorized local source directory.
- Never unlock active mode or register a target from MCP. That is a terminal-only user action.
- Read the consolidated observations. Treat
suspectedas unverified; multiple sources increase confidence but do not confirm a vulnerability. - Only call
anjian_validate_observationafter documenting a reproducible validation rationale. If evidence is insufficient, leave it suspected. - State skipped/blocked tools, untested areas, scope, and limitations.
Hard safety rules
- Never expand from the authorized host to discovered subdomains unless
allow_subdomainswas explicitly recorded; never expand to parent domains, redirects, IP neighbors, or third-party services. - Never use brute force, denial of service, exploit, persistence, credential testing, data extraction, SQLMap database enumeration, FFUF recursion, or arbitrary tool arguments.
- Never start live packet capture through MCP. Analyze only a user-selected capture file and never persist packet payloads.
- Never describe an automated match as a confirmed vulnerability.
- Never upload client evidence to an online service unless the client explicitly authorized 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.
- 12d ago First seen · 41 lines · 23 tokens per session scan A beb4cad6efeb
anjian-audit is a skill published in the GitHub repository ck3938700-ship-it/anjian-agent (0 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 553 once invoked, about $0.0001 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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