Borrowing it
Nothing to install: this file belongs to ysfAskri/archguardian. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ysfAskri/archguardian/master/.claude/skills/setup/SKILL.mdgit clone --depth 1 https://github.com/ysfAskri/archguardianWrote 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/ysfaskri/archguardian/setup)<a href="https://agentmods.dev/skills/ysfaskri/archguardian/setup"><img src="https://agentmods.dev/badge/skills/ysfaskri/archguardian/setup/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/ysfaskri/archguardian/setup"><img src="https://agentmods.dev/badge/skills/ysfaskri/archguardian/setup.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 | $0.00013 | $0.00388 |
| Opus 5.5 | $0.00005 | $0.00155 |
| Sonnet 5.5 | $0.00003 | $0.00078 |
| Haiku 4.5 | $0.00001 | $0.00039 |
Grade A, and why
setup 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.
What it actually says
archguardian setup
Initialize archguardian in the current project.
Instructions
-
Check if archguardian is already installed:
ls .archguard.yml 2>/dev/null && echo "EXISTS" || echo "NOT_FOUND" -
If already configured, read
.archguard.ymland summarize the current settings. Ask if the user wants to reconfigure. -
If not configured, run init:
npx archguardian init -
After init, read the generated
.archguard.ymland walk the user through key settings:- Languages: Which languages to analyze
- Include/Exclude: Which directories to scan
- Analyzers: Which are enabled and their thresholds
- Severity: What blocks commits vs what just warns
-
Ask if they want to customize anything based on their project. Apply edits to
.archguard.ymlas needed. -
Run a quick scan to show the initial state:
npx archguardian scan --format json -
If there are many findings, suggest creating a baseline:
npx archguardian scan --update-baseline -
Remind the user that the pre-commit hook is now installed and will run
archguardian checkautomatically on every commit.
Tips
- For monorepos, adjust the
includepatterns to target specific packages. - The
severity.maxWarningssetting controls how many warnings are allowed before blocking a commit. - Suggest starting with security enabled and other analyzers at warning level, then tightening over time.
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 · 51 lines · 13 tokens per session scan A 1cd3cd9278db
setup is a skill published in the GitHub repository ysfAskri/archguardian (4 stars, last pushed 8mo ago), licensed MIT. It adds 13 tokens to every session and 388 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
hefestoai
Run HefestoAI before committing AI-generated code: pre-commit / CI quality gate for semantic drift, security, and reliability. Use when the user asks about Hefesto, code quality gates, semantic drift, install hooks, or validating Claude/Codex/Cursor output before commit.
HefestoAI Output Analysis
Interpret HefestoAI analyze / pre-commit / CI output, suggest fixes, and draft a commit-quality summary. Use after hefesto analyze, after a Hefesto hook or CI gate, or when the user asks what Hefesto found.
skill
The HefestoAI agent skill moved to skills/hefestoai/ (name: hefestoai, following the Agent Skills specification). Its reference docs (commands.md, issuetypes.md, integration.md, semanticdrift.md, reliabilitydrift.md and analysis/) moved with it.
repo-onboarding
Systematically map an unfamiliar codebase before changing it — entry points, build/test loop, conventions, data flow. Use when starting work in a repo you haven't seen, or asked "how does this codebase work?".
code-to-diagram
Analyze codebases and automatically generate architecture diagrams, flowcharts, and org charts. Uses AST parsing to map import dependencies for Python, JS/TS, Go, and Java, outputting Mermaid or SVG files. Triggered when users ask to visualize code architecture, understand dependencies, draw a flowchart, or create a…
sql-linting
Lint SQL with GoSQLX and explain its rules L001-L030 (whitespace, keyword case, comma placement, aliasing, plus safety, performance and naming rules), including which rules each entry point applies and which can be auto-fixed. Use when the user asks to lint SQL, enforce SQL style, explains a GoSQLX rule ID like L007…