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 nebulae/trudi --skill trudi-check-alertsgit clone --depth 1 https://github.com/nebulae/trudiWrote 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/nebulae/trudi/trudi-check-alerts)<a href="https://agentmods.dev/skills/nebulae/trudi/trudi-check-alerts"><img src="https://agentmods.dev/badge/skills/nebulae/trudi/trudi-check-alerts/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/nebulae/trudi/trudi-check-alerts"><img src="https://agentmods.dev/badge/skills/nebulae/trudi/trudi-check-alerts.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 | $0.00031 | $0.00663 |
| Opus 5.5 | $0.00012 | $0.00265 |
| Sonnet 5.5 | $0.00006 | $0.00133 |
| Haiku 4.5 | $0.00003 | $0.00066 |
Grade A, and why
trudi-check-alerts 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 4d 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
Read the current case's CLAUDE.md, its monitoring/config.json, and the TRUDI orchestrator instructions in the repository's claude/CLAUDE.md. The repository is the parent of this skill's resolved codex/skills directory. Read the canonical live workflow at references/workflow.md.
Apply these Codex adaptations to that workflow:
- Resolve an explicit case argument first, then the current case directory; do not accidentally follow another case's shared active_case file.
- Call the MCP tools actually exposed by trudi-sift. ToolSearch is optional; discover schemas with this client's available tool discovery mechanism. Never substitute shell/Python imports for forensic MCP calls.
- Read open investigation state and resume the same ID and trace. Existing entries do not imply all investigative stages have finished. Continue the last unfinished stage; do not duplicate completed response actions.
- Respect a declared exercise response hold. When released, confirm auto_protect is enabled, preserve volatile evidence, and contain through the saved signed alert's normal server gate before reasoning. Check recorded response state first so an existing source block is not stacked again.
- For destructive actions, request an explicit operator answer naming the ACT-N. Submit it through respond.approve_action, then execute only if the gate accepts it. The trusted Codex UserPromptSubmit hook records genuine input. AskUserQuestion and Claude's popup hook are not available here.
- A declined answer is not approval, and a question mentioning an action is not consent. If the approval hook has not been reviewed/trusted in /hooks, leave the action pending and explain the setup problem. Never write an approval token or a user_message entry yourself. A fresh typed approval after hook setup is the reliable recovery path.
- Before executing a previously queued process action, revalidate that its PID still identifies the same owning process and start time. If containment already ended it, report that outcome instead of killing a stale/reused PID.
- Continue independent read-only investigation while an approval is pending. Do not acknowledge an alert or close its investigation just because a destructive action could not execute.
- Keep evidence and stage attribution separate. For WINDECOY-DEMO, use the recorded take's SinceUTC and every named HoneyActivity source. Bind the defender-owned SID, 4624/4778 logon context, source IP, process/file/script evidence, and residuals. Recollect after an EVTX flush delay if necessary. Attacker receipts, expected steps, and ground_truth.json are not proof.
- Record findings and write the report through the normal MCP workflow. Preserve history, carry snapshot call IDs, disclose the exercise hold, and acknowledge only alerts whose work is complete. Linux verify_clean does not establish Windows clearance.
An invocation checks one bundle and returns its status. Use $trudi-watch-alerts for repeated waiting and investigation.
What ships with it
1 file 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.
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.
- 4d ago First seen · 52 lines · 31 tokens per session scan A 511fc5ab6cef
trudi-check-alerts is a skill published in the GitHub repository nebulae/trudi (67 stars, last pushed 5d ago), licensed MIT. It adds 31 tokens to every session and 663 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 2026-10-31.
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