Agent skill

Ti Ingest

by transilienceai in transilienceai/communitytools

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

MITAuto-check passedSecurity

Install Ti Ingest

skills CLI

$ npx skills add transilienceai/communitytools --skill ti-ingest -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install transilienceai/communitytools ti-ingest --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/transilienceai/communitytools.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ti-ingest .claude/skills/ti-ingest && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "ti-ingest" agent skill from https://github.com/transilienceai/communitytools/tree/main/skills/ti-ingest into .claude/skills/ti-ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ti-ingest", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/transilienceai/communitytools/tree/main/skills/ti-ingest

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add transilienceai/communitytools --skill ti-ingest -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install transilienceai/communitytools ti-ingest --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/transilienceai/communitytools.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ti-ingest .agents/skills/ti-ingest && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "ti-ingest" agent skill from https://github.com/transilienceai/communitytools/tree/main/skills/ti-ingest into .agents/skills/ti-ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ti-ingest", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add transilienceai/communitytools --skill ti-ingest -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install transilienceai/communitytools ti-ingest --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/transilienceai/communitytools.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ti-ingest .cursor/skills/ti-ingest && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "ti-ingest" agent skill from https://github.com/transilienceai/communitytools/tree/main/skills/ti-ingest into .cursor/skills/ti-ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ti-ingest", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/transilienceai/communitytools.git --path skills/ti-ingest

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add transilienceai/communitytools --skill ti-ingest -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install transilienceai/communitytools ti-ingest --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/transilienceai/communitytools.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ti-ingest .gemini/skills/ti-ingest && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "ti-ingest" agent skill from https://github.com/transilienceai/communitytools/tree/main/skills/ti-ingest into .gemini/skills/ti-ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ti-ingest", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install transilienceai/communitytools ti-ingest

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add transilienceai/communitytools --skill ti-ingest -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/transilienceai/communitytools.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ti-ingest .github/skills/ti-ingest && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "ti-ingest" agent skill from https://github.com/transilienceai/communitytools/tree/main/skills/ti-ingest into .github/skills/ti-ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ti-ingest", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add transilienceai/communitytools --skill ti-ingest -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install transilienceai/communitytools ti-ingest --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/transilienceai/communitytools.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ti-ingest .opencode/skills/ti-ingest && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "ti-ingest" agent skill from https://github.com/transilienceai/communitytools/tree/main/skills/ti-ingest into .opencode/skills/ti-ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ti-ingest", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: ti-ingest
GitHub stars: 563
Token cost: ~676 tokens
SKILL.md length: 261 words
Files: 2
Skills in repo: 35
Repo updated: Jul 29, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

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

Works in 5 steps: Read the payload — tools/ti-ingest.py… → Validate schema — required keys:… → Enrich with NVD — for every CVE in the… → …
Tasks that involve Vulnerability scanning
SKILL.md covers Trigger, Workflow, Output and Rules, plus 1 more section
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ti Ingest is an agent skill from transilienceai/communitytools. Threat-intel signal ingest — converts a CVE + affected-asset + claim payload into a queued engagement-scope row for the validation pipeline.

Its SKILL.md is about 680 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `reference/ingest-schema.md`).

It sits in Security, covering Vulnerability scanning. The repository describes itself as: Open-source Claude Code skills, agents, and slash commands for AI-powered penetration testing, bug bounty hunting, and security research. The licence is MIT.

When your agent uses it

Tasks that involve Vulnerability scanning

Example prompts

“/ti-ingest”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

Read the payload — tools/ti-ingest.py --in .
Validate schema — required keys: signal_id, cve (one or more), assets (one or more), claim. Optional: confidence, source, references.
Enrich with NVD — for every CVE in the payload, run tools/nvd-lookup.py and attach {score, severity, cwe} to the row.
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…
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.

What it can do on your machine

Read from SKILL.md and the folder at commit 95fdc12. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ti Ingest loads about 676 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 261 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~38
When it runs · the whole SKILL.md, loaded when a task matches: ~676

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from transilienceai/communitytools at commit 95fdc12, republished under its MIT licence (© transilienceai). 261 words, ~676 tokens.

Download SKILL.mdSave it as .claude/skills/ti-ingest/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

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

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

Read the payload — tools/ti-ingest.py --in <path-or-stdin>.
Validate schema — required keys: signal_id, cve (one or more), assets (one or more), claim. Optional: confidence, source, references.
Enrich with NVD — for every CVE in the payload, run tools/nvd-lookup.py <CVE> and attach {score, severity, cwe} to the row.
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.
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:

json

{
  "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

Idempotent. Re-running on the same payload must not produce duplicate queue rows.
No execution. Ingest never runs PoCs. It only queues scope for downstream tasks.
Audit trail. Raw payload is always copied to inbox/ before any transformation.
NVD failures are non-blocking. If nvd-lookup errors, write the row with nvd: null and nvd_error: "..."; do not drop the signal.
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.

Files

SKILL.md and 1 other file in skills/ti-ingest of transilienceai/communitytools.

SKILL.md
reference/ingest-schema.md

Open the folder on GitHubat commit 95fdc12

Compare with similar skills

Ti Ingest next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ti Ingest compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Ti Ingest this skilltransilienceai/communitytools	563	—	~676	Automated safety check: Pass	MIT	2 mo ago
Deepsec Documentation Guidevercel-labs/deepsec	8.1k	—	~956	Automated safety check: Pass	Apache-2.0	12 days ago
Shiro Attack CLISummerSec/ShiroAttack2	2.6k	—	~945	Automated safety check: Pass	MIT	4 mo ago
Cve Remediationrundeck/rundeck	6.3k	—	~2.9k	Automated safety check: Pass	Apache-2.0	yesterday
Native Dependency Updatemono/SkiaSharp	5.6k	—	~4.1k	Automated safety check: Pass	MIT	yesterday
Forensifyalexgreensh/repo-forensics	190	—	~2.5k	Automated safety check: Notes	Custom licence	14 days ago

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Questions about Ti Ingest

What does Ti Ingest do?

Threat-intel signal ingest — converts a CVE + affected-asset + claim payload into a queued engagement-scope row for the validation pipeline. Ti Ingest is an agent skill from transilienceai/communitytools. Threat-intel signal ingest — converts a CVE + affected-asset + claim payload into a queued engagement-scope row for the validation pipeline.

When should I use Ti Ingest?

Ti Ingest fits situations like: tasks that involve Vulnerability scanning.

How do I install Ti Ingest in Claude Code?

Run `npx skills add transilienceai/communitytools --skill ti-ingest -a claude-code`. Or copy the skill folder (skills/ti-ingest in transilienceai/communitytools) into .claude/skills/ti-ingest in your project. Claude Code loads it when a task matches its description.

How do I install Ti Ingest in Codex?

Run `npx skills add transilienceai/communitytools --skill ti-ingest -a codex`. Or copy the skill folder (skills/ti-ingest in transilienceai/communitytools) into .agents/skills/ti-ingest in your project. Codex loads it when a task matches its description.

Can I use Ti Ingest in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add transilienceai/communitytools --skill ti-ingest -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ti-ingest, .gemini/skills/ti-ingest, .github/skills/ti-ingest and .opencode/skills/ti-ingest in your project.

What does Ti Ingest need to run?

SKILL.md names no scripts, command-line tools or credentials: Ti Ingest is instructions for the agent only.

Does Ti Ingest access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ti Ingest safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ti Ingest use?

Ti Ingest is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ti Ingest use?

About 676 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ti Ingest?

Skills that share tags, products or a category with Ti Ingest: Deepsec Documentation Guide (vercel-labs/deepsec, 8.1k stars), Shiro Attack CLI (SummerSec/ShiroAttack2, 2.6k stars), Cve Remediation (rundeck/rundeck, 6.3k stars) and Native Dependency Update (mono/SkiaSharp, 5.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ti Ingest?

transilienceai (a GitHub organization) maintains it in transilienceai/communitytools, which has 563 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on July 29, 2026.

Source: transilienceai/communitytools on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Ti Ingest

Install Ti Ingest

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Threat-Intel Signal Ingest

Trigger

Workflow

Output

Rules

References

Files

Compare with similar skills

Similar skills

Deepsec Documentation Guide

Shiro Attack CLI

Cve Remediation

Native Dependency Update

Forensify

Write Cve Rule

More from transilienceai/communitytools

Dfir

GitHub Workflow

Pci Secure Software

Protect With Password

Skill Update

Source Code Scanning

Questions about Ti Ingest

Install Ti Ingest

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Threat-Intel Signal Ingest

Trigger

Workflow

Output

Rules

References

Files

Compare with similar skills

Similar skills

More from transilienceai/communitytools

Related

Questions about Ti Ingest