MCPInstall

ti-ingest

by transilienceaiSecurity

Threat-intel signal ingest — converts a CVE + affected-asset + claim payload into a queued engagement-scope row for the validation pipeline.

Installs
133
Last 24h
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Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/transilienceai/communitytools --skill ti-ingest
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads ti-ingest automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Threat-Intel Signal Ingest

Convert a threat-intel signal into a queued engagement-scope row that the Exploitability Validation Run (cloud-agent task #3) consumes.

Trigger

Two modes:

  • Prompt-invoked: an analyst runs the skill against a signal.json they have on hand.
  • Scheduled poll: the cloud-agent runtime polls {OUTPUT_DIR}/inbox/ on a cron (default every 15 minutes) and processes any new signal files it finds.

Workflow

  1. Read the payload — tools/ti-ingest.py --in <path-or-stdin>.
  2. Validate schema — required keys: signal_id, cve (one or more), assets (one or more), claim. Optional: confidence, source, references.
  3. Enrich with NVD — for every CVE in the payload, run tools/nvd-lookup.py <CVE> and attach {score, severity, cwe} to the row.
  4. De-dup — skip rows whose (asset, cve) pair already exists in queue/scope-*.json. Re-queue only if the prior row's status is REJECTED AND the TI signal carries a higher confidence than the last attempt.
  5. Write queue row — one JSON file per (asset, cve) pair at queue/scope-{ts}-{asset_id}-{cve}.json. The Validation Run task picks these up.

Output

{OUTPUT_DIR}/
  inbox/
    signal-{ts}.json        # raw payload, kept for audit
  queue/
    scope-{ts}-{asset}-{cve}.json

Per scope row:

{
  "scope_id": "scope-20260513-asset42-CVE-2024-12345",
  "signal_id": "ti-2026-0042",
  "asset": {"id": "asset42", "url": "https://app.example.com", "tier": "revenue"},
  "cve": "CVE-2024-12345",
  "nvd": {"score": 9.8, "severity": "CRITICAL", "cwe": "CWE-79"},
  "claim": "Reflected XSS via search parameter",
  "confidence": "high",
  "source": "vendor-advisory",
  "references": ["https://..."],
  "queued_at": "2026-05-13T10:00:00Z",
  "status": "queued"
}

Rules

  1. Idempotent. Re-running on the same payload must not produce duplicate queue rows.
  2. No execution. Ingest never runs PoCs. It only queues scope for downstream tasks.
  3. Audit trail. Raw payload is always copied to inbox/ before any transformation.
  4. NVD failures are non-blocking. If nvd-lookup errors, write the row with nvd: null and nvd_error: "..."; do not drop the signal.
  5. Asset must be in inventory. Cross-check asset.id against artifacts/org-surface.json (from Org Recon Refresh task). Unknown assets get a row but flagged unknown_asset: true so the validator skips them.

References

  • reference/ingest-schema.md — full input/output JSON schemas.

FAQ

What does the ti-ingest skill do?

Threat-intel signal ingest — converts a CVE + affected-asset + claim payload into a queued engagement-scope row for the validation pipeline.

How do I install ti-ingest?

Run npx skills add https://github.com/transilienceai/communitytools --skill ti-ingest in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/ti-ingest/ (personal) or .claude/skills/ti-ingest/ (project).

Which AI agents can use ti-ingest?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is ti-ingest safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains ti-ingest?

It is published by transilienceai in transilienceai/communitytools. It has 133 recorded installs.

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