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 alicankiraz1/SentinelXPrime --skill sentinelx-primegit clone --depth 1 https://github.com/alicankiraz1/SentinelXPrimeWrote 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/alicankiraz1/sentinelxprime/sentinelx-prime)<a href="https://agentmods.dev/skills/alicankiraz1/sentinelxprime/sentinelx-prime"><img src="https://agentmods.dev/badge/skills/alicankiraz1/sentinelxprime/sentinelx-prime/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/alicankiraz1/sentinelxprime/sentinelx-prime"><img src="https://agentmods.dev/badge/skills/alicankiraz1/sentinelxprime/sentinelx-prime.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 | $0.00082 | $0.00826 |
| Opus 5 | $0.00041 | $0.00413 |
| Sonnet 5 | $0.00016 | $0.00165 |
| Haiku 4.5 | $0.00008 | $0.00083 |
Grade A, and why
sentinelx-prime 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 7d 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SentinelXPrime
Overview
Thin orchestrator for stage-aware security guidance. It chooses the right security skill for the current project stage and keeps outputs consistent.
When to Use
- planning a feature, architecture, or task breakdown
- changing authentication, authorization, tokens, secrets, middleware, outbound requests, file handling, CI, deployment, or another trust boundary
- finishing implementation and deciding whether to run a security review
- preparing release, handoff, or hardening checks
When Not to Use
- doc-only changes
- naming-only refactors
- formatting-only edits
- UI-only changes that do not affect a trust boundary
Workflow
- Read
references/context-resolution.md,references/activation-rules.md,references/interaction-model.md,references/risky-change-signals.md,references/notification-policy.md,references/lifecycle-persistence.md, andreferences/active-analysis.md. - Classify the stage as
plan,review,test-rig, oruncertain, and classify whether the current work crosses a risky-change threshold. - Resolve repo-local checkpoint guidance through
references/context-resolution.mdrather than assuming a relative../../AGENTS.mdpath. - For
plan, invoke../sentinelx-plan-gap/SKILL.mdautomatically. - For risky implementation work, ask once whether the user wants a read-only active analysis pass for the current scope. If they accept, collect scoped evidence through
references/active-analysis.md. If git-backed discovery is unavailable but shell reads still work for files already visible in context or explicitly named by the user, use a limited current-source fallback and note the limitation in assumptions. If they decline or shell/file evidence is unavailable, stay description-based and note the limitation in assumptions. - For risky implementation work, run a low-noise scoped risky-change review pass using
references/risky-change-review-pass-template.mdwith an enriched context pack when active analysis was allowed and available. - If a risky-change review pass returns no material concern, do not create a separate interruption.
- For
review, ask once before invoking../sentinelx-review-gate/SKILL.md. If the user accepts, treat that acceptance as consent for read-only active analysis within the current review scope. - For
test-rig, ask once before invoking../sentinelx-test-rig/SKILL.md. - Normalize findings using
../shared/finding-schema.md. - End substantial outputs with a coverage note.
What ships with it
9 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.
- agents/openai.yaml 611 B
- references/activation-rules.md 6.1 KB
- references/active-analysis.md 7.7 KB
- references/context-resolution.md 2.2 KB
- references/interaction-model.md 1.1 KB
- references/lifecycle-persistence.md 916 B
- references/notification-policy.md 1.2 KB
- references/risky-change-review-pass-template.md 2.6 KB
- references/risky-change-signals.md 2.1 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.
- 7d ago First seen · 49 lines · 82 tokens per session scan A fcf968c20076
sentinelx-prime is a skill published in the GitHub repository alicankiraz1/SentinelXPrime (38 stars, last pushed 5mo ago), licensed MIT. It adds 82 tokens to every session and 826 once invoked, about $0.0004 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 2026-09-04.
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