Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add Freespirits/claudeguard-il/plugin install claudeguard-ilWrote 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/freespirits/claudeguard-il/claudeguard)<a href="https://agentmods.dev/skills/freespirits/claudeguard-il/claudeguard"><img src="https://agentmods.dev/badge/skills/freespirits/claudeguard-il/claudeguard.svg" alt="Measured on agentmods" 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 | $0.00152 | $0.02987 |
| Opus 5 | $0.00076 | $0.01494 |
| Sonnet 5 | $0.00030 | $0.00597 |
| Haiku 4.5 | $0.00015 | $0.00299 |
Grade A, and why
claudeguard 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 8d 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 — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ClaudeGuardIL
Security auditor and guard-builder for vibecoded apps. Find vulnerabilities and missing guards, explain each in Hebrew and English with evidence, and generate paste-ready hardening code.
Community project — NOT an official Anthropic product. Say this in every report header. פרויקט קהילתי — אינו מוצר רשמי של Anthropic.
The pipeline
Engine → Facts → Grader → Findings → Reviewers → Report.
The split matters and is not optional. A deterministic layer computes what can be computed and grades it; you review only what it could not decide. Re-grading its output yourself destroys the one thing v2 promises — that the same repo always produces the same severities.
Read references/methodology/README.md before your first scan. In Claude Code the engine and
grader are real scripts; on claude.ai you apply the same method by hand from
references/methodology/.
Workflow (follow in order)
-
Detect what the project is. Look for
package.json(web/Node),next.config.*,AndroidManifest.xml/build.gradle(Android),Info.plist/*.xcodeproj(iOS), Electronmain/webPreferences,Dockerfile/*.tf(IaC),.github/workflows(CI), and any LLM SDK usage (openai,anthropic,@google/generative-ai) or Supabase/Firebase. Pick the relevant check catalogs — do not run checks for stacks that aren't present. -
Enumerate and grade (Tier 0, static — the default and always safe). In Claude Code: run
node ${CLAUDE_PLUGIN_ROOT}/scripts/grader.mjs <path>. It runs the engine itself and returnsfindings,coverageand averdict. Do not re-derive severity from it. On claude.ai: followreferences/methodology/enumerate.mdandgrade.mdagainst the pasted files, and declare your enumeration incomplete wherever it is. -
Review what the rules could not decide. Work
coverage.<set>.undeterminable— those are subjects that were enumerated but not settled, each with a reason. This is where the real value is: authorization that is present but wrong, workflow flaws, IDOR, prompt injection reaching a consequential tool. Findings you add carryprovenance: reviewerandevidence.strength: judgement, which caps them at confidencelikely. A reviewer's reading is neverconfirmed, no matter how sure it feels. Consultreferences/checks/for what to look for per domain.
What ships with it
45 files 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.
- references/authorization/dynamic-testing-gate.md 25 KB
- references/authorization/legal-gate.md 4.3 KB
- references/authorization/SCOPE.example.yml 7.2 KB
- references/checks/accessibility.md 24 KB
- references/checks/ai-llm.md 4.2 KB
- references/checks/android.md 2.3 KB
- references/checks/backend-iac.md 2.1 KB
- references/checks/desktop-electron.md 2.2 KB
- references/checks/ios.md 1.9 KB
- references/checks/privacy-data-security.md 25 KB
- references/checks/supabase-firebase.md 4.1 KB
- references/checks/supply-chain-cicd.md 2.3 KB
- references/checks/web.md 5.9 KB
- references/guard-recipes/accessibility.md 13 KB
- references/guard-recipes/auth-middleware.md 2.3 KB
- references/guard-recipes/business-logic-intent.md 4.3 KB
- references/guard-recipes/ci-hardening.md 6.5 KB
- references/guard-recipes/container-iac.md 6.8 KB
- references/guard-recipes/dependency-hygiene.md 1.4 KB
- references/guard-recipes/electron-hardening.md 1.9 KB
- references/guard-recipes/firebase-rules.md 2.7 KB
- references/guard-recipes/ios-ats.md 5.6 KB
- references/guard-recipes/llm-guardrails.md 3.0 KB
- references/guard-recipes/network-security-config.md 6.9 KB
- references/guard-recipes/rate-limiting.md 1.7 KB
- references/guard-recipes/rls-policies.md 6.5 KB
- references/guard-recipes/secrets-management.md 6.9 KB
- references/guard-recipes/security-headers.md 10 KB
- references/guard-recipes/vibecoder-hygiene.md 7.9 KB
- references/guard-recipes/zod-validation.md 3.7 KB
- references/i18n/en.md 4.2 KB
- references/i18n/he.md 5.6 KB
- references/methodology/business-logic.md 7.2 KB
- references/methodology/coverage.md 8.3 KB
- references/methodology/discovery.md 2.9 KB
- references/methodology/enumerate.md 19 KB
- references/methodology/false-positives.md 20 KB
- references/methodology/grade-or-declare.md 3.7 KB
- references/methodology/grade.md 11 KB
- references/methodology/README.md 6.2 KB
- references/methodology/snyk-adapter.md 11 KB
- references/plain-language/concepts.he.md 11 KB
- references/plain-language/findings.md 110 KB
- references/report-template.md 33 KB
- references/severity-model.md 34 KB
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.
- 8d ago First seen · 180 lines · 152 tokens per session scan A ffd954f476ae
claudeguard is a skill published in the GitHub repository Freespirits/claudeguard-il (2 stars, last pushed 1mo ago), licensed MIT. It adds 152 tokens to every session and 2,987 once invoked, about $0.0008 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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