Skill Scanner
getsentry/skills
Scan agent skills for security issues. An agent skill from getsentry/skills.
Reconstruct how instructions, retrieved content, memory, identities, approvals, tool schemas, arguments, outputs, delegation, and fallbacks propagate through an AI system.
Install Trace AI Context Capabilities
$ npx skills add cyberful/cyberful --skill trace-ai-context-capabilities -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install cyberful/cyberful trace-ai-context-capabilities --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/cyberful/cyberful.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cyberful/builtin/skills/trace-ai-context-capabilities .claude/skills/trace-ai-context-capabilities && rm -rf skills-srcUse ~/.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/
Install the "trace-ai-context-capabilities" agent skill from https://github.com/cyberful/cyberful/tree/main/cyberful/builtin/skills/trace-ai-context-capabilities into .claude/skills/trace-ai-context-capabilities/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trace-ai-context-capabilities", 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 install https://github.com/cyberful/cyberful/tree/main/cyberful/builtin/skills/trace-ai-context-capabilitiesType 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.
$ npx skills add cyberful/cyberful --skill trace-ai-context-capabilities -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install cyberful/cyberful trace-ai-context-capabilities --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cyberful/cyberful.git skills-src && mkdir -p .agents/skills && cp -r skills-src/cyberful/builtin/skills/trace-ai-context-capabilities .agents/skills/trace-ai-context-capabilities && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "trace-ai-context-capabilities" agent skill from https://github.com/cyberful/cyberful/tree/main/cyberful/builtin/skills/trace-ai-context-capabilities into .agents/skills/trace-ai-context-capabilities/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trace-ai-context-capabilities", 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.
$ npx skills add cyberful/cyberful --skill trace-ai-context-capabilities -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install cyberful/cyberful trace-ai-context-capabilities --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cyberful/cyberful.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/cyberful/builtin/skills/trace-ai-context-capabilities .cursor/skills/trace-ai-context-capabilities && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "trace-ai-context-capabilities" agent skill from https://github.com/cyberful/cyberful/tree/main/cyberful/builtin/skills/trace-ai-context-capabilities into .cursor/skills/trace-ai-context-capabilities/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trace-ai-context-capabilities", 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 https://github.com/cyberful/cyberful.git --path cyberful/builtin/skills/trace-ai-context-capabilities--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add cyberful/cyberful --skill trace-ai-context-capabilities -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install cyberful/cyberful trace-ai-context-capabilities --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cyberful/cyberful.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/cyberful/builtin/skills/trace-ai-context-capabilities .gemini/skills/trace-ai-context-capabilities && rm -rf skills-srcUse ~/.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/
Install the "trace-ai-context-capabilities" agent skill from https://github.com/cyberful/cyberful/tree/main/cyberful/builtin/skills/trace-ai-context-capabilities into .gemini/skills/trace-ai-context-capabilities/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trace-ai-context-capabilities", 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.
$ gh skill install cyberful/cyberful trace-ai-context-capabilitiesInstalls 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).
$ npx skills add cyberful/cyberful --skill trace-ai-context-capabilities -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/cyberful/cyberful.git skills-src && mkdir -p .github/skills && cp -r skills-src/cyberful/builtin/skills/trace-ai-context-capabilities .github/skills/trace-ai-context-capabilities && rm -rf skills-srcUse ~/.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/
Install the "trace-ai-context-capabilities" agent skill from https://github.com/cyberful/cyberful/tree/main/cyberful/builtin/skills/trace-ai-context-capabilities into .github/skills/trace-ai-context-capabilities/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trace-ai-context-capabilities", 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.
$ npx skills add cyberful/cyberful --skill trace-ai-context-capabilities -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install cyberful/cyberful trace-ai-context-capabilities --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cyberful/cyberful.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/cyberful/builtin/skills/trace-ai-context-capabilities .opencode/skills/trace-ai-context-capabilities && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "trace-ai-context-capabilities" agent skill from https://github.com/cyberful/cyberful/tree/main/cyberful/builtin/skills/trace-ai-context-capabilities into .opencode/skills/trace-ai-context-capabilities/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trace-ai-context-capabilities", 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
trace-ai-context-capabilities- GitHub stars
- 135
- Token cost
- ~517 tokens
- SKILL.md length
- 125 words
- Files
- 9 (incl. scripts, references, assets)
- Skills in repo
- 85
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
Reconstruct how instructions, retrieved content, memory, identities, approvals, tool schemas, arguments, outputs, delegation, and fallbacks propagate through an AI system.
- Offline causal analysis of agent traces and context boundaries before testing prompt injection
- SKILL.md covers Build the event graph and Deliver
- Runs Python scripts from its folder
- Tool authorization
What it does
Trace AI Context Capabilities is an agent skill from cyberful/cyberful. Reconstruct how instructions, retrieved content, memory, identities, approvals, tool schemas, arguments, outputs, delegation, and fallbacks propagate through an AI system. Use for offline causal analysis of agent traces and context boundaries before testing prompt injection or tool authorization.
Its SKILL.md is about 520 tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts, reference files and assets (for example `agents/openai.yaml`, `assets/context-capability-ledger.example.json` and `assets/context-capability-ledger.schema.json`).
It sits in Security, covering Prompt injection and agent security. The repository describes itself as: Cyberful is an open-source AI Red Team for discovering, exploiting, verifying, and remediating vulnerabilities. The licence is AGPL-3.0.
When your agent uses it
- Offline causal analysis of agent traces and context boundaries before testing prompt injection
- Tool authorization
Example prompts
- “/trace-ai-context-capabilities”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit ec598a6. 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
Ships 2 files in scripts/ (Python), which the agent can run.
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
Trace AI Context Capabilities loads about 517 tokens when it runs, and up to ~672 if it reads all its reference files. Until then it costs about 82 tokens; SKILL.md has 125 words of instructions outside code blocks.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from cyberful/cyberful at commit ec598a6, republished under its AGPL-3.0 licence (© cyberful). 125 words, ~517 tokens.
Download SKILL.mdSave it as
.claude/skills/trace-ai-context-capabilities/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.- name
- trace-ai-context-capabilities
- description
- Reconstruct how instructions, retrieved content, memory, identities, approvals, tool schemas, arguments, outputs, delegation, and fallbacks propagate through an AI system. Use for offline causal analysis of agent traces and context boundaries before testing prompt injection or tool authorization.
- metadata.domain
- ai-security
- metadata.subdomain
- context-capability-tracing
- metadata.triggers
- trace AI context capabilities, agent context dataflow, LLM tool causal trace, memory and retrieval propagation, agent delegation trace
- metadata.tags
- context-tracing, capabilities, tool-calling, memory, retrieval, delegation
Trace AI Context and Capabilities
Reconstruct what influenced each consequential action and which deterministic mediator authorized it. Do not infer causality from temporal proximity alone.
Build the event graph
Normalize instruction sources, retrieval items, memory reads/writes, model calls, tool discovery, tool requests, canonical arguments, approval decisions, identity/tenant context, tool results, delegations, fallbacks, and output consumers. Read references/context-capability-graph.md for edge semantics.
Stage scripts/trace_context_capabilities.py, its manifest, and the ledger example when event volume makes manual tracing unreliable. The analyzer is offline, rejects duplicate/self/cyclic relationships, and preserves unknown parents as typed evidence gaps rather than inventing causality.
Deliver
Identify untrusted-to-privileged paths, missing mediation, identity changes, approval/action mismatches, shared context across tenants, stale memory, fallback divergence, and evidence gaps. Route influence tests to test-ai-prompt-injection and host-enforcement tests to test-ai-tool-authorization.
© cyberful, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 8 other files (scripts, references, assets) in cyberful/builtin/skills/trace-ai-context-capabilities of cyberful/cyberful.
- SKILL.md
- agents/openai.yaml
- assets/context-capability-ledger.example.json
- assets/context-capability-ledger.schema.json
- assets/context-capability-trace.schema.json
- references/context-capability-graph.md
- scripts/manifest.json
- scripts/trace_context_capabilities.py
- tests/test_trace_context_capabilities.py
Open the folder on GitHubat commit ec598a6
Compare with similar skills
Trace AI Context Capabilities 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Trace AI Context Capabilities this skillcyberful/cyberful | 135 | — | ~517 | Automated safety check: Pass | AGPL-3.0 | |
| Skill Scannergetsentry/skills | 1k | 4 repos | ~2.5k | Automated safety check: Warn | Apache-2.0 | |
| Forensifyalexgreensh/repo-forensics | 188 | — | ~2.5k | Automated safety check: Notes | Custom licence | |
| Hol Guardhashgraph-online/hol-guard | 827 | — | ~542 | Automated safety check: Pass | Apache-2.0 | |
| Kesekit Checkcdppcorp/KESE-KIT | 361 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Setuphashgraph-online/hol-guard | 827 | — | ~443 | Automated safety check: Pass | Apache-2.0 |
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Questions about Trace AI Context Capabilities
What does Trace AI Context Capabilities do?
Reconstruct how instructions, retrieved content, memory, identities, approvals, tool schemas, arguments, outputs, delegation, and fallbacks propagate through an AI system. Trace AI Context Capabilities is an agent skill from cyberful/cyberful. Reconstruct how instructions, retrieved content, memory, identities, approvals, tool schemas, arguments, outputs, delegation, and fallbacks propagate through an AI system.
When should I use Trace AI Context Capabilities?
Trace AI Context Capabilities fits situations like: offline causal analysis of agent traces and context boundaries before testing prompt injection; tool authorization.
How do I install Trace AI Context Capabilities in Claude Code?
Run `npx skills add cyberful/cyberful --skill trace-ai-context-capabilities -a claude-code`. Or copy the skill folder (cyberful/builtin/skills/trace-ai-context-capabilities in cyberful/cyberful) into .claude/skills/trace-ai-context-capabilities in your project. Claude Code loads it when a task matches its description.
How do I install Trace AI Context Capabilities in Codex?
Run `npx skills add cyberful/cyberful --skill trace-ai-context-capabilities -a codex`. Or copy the skill folder (cyberful/builtin/skills/trace-ai-context-capabilities in cyberful/cyberful) into .agents/skills/trace-ai-context-capabilities in your project. Codex loads it when a task matches its description.
Can I use Trace AI Context Capabilities 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 cyberful/cyberful --skill trace-ai-context-capabilities -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/trace-ai-context-capabilities, .gemini/skills/trace-ai-context-capabilities, .github/skills/trace-ai-context-capabilities and .opencode/skills/trace-ai-context-capabilities in your project.
What does Trace AI Context Capabilities need to run?
Going by SKILL.md and its folder, Trace AI Context Capabilities needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Trace AI Context Capabilities 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 Trace AI Context Capabilities 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Trace AI Context Capabilities use?
Trace AI Context Capabilities is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Trace AI Context Capabilities use?
About 517 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 155 tokens, read only when the agent opens those files.
What are the alternatives to Trace AI Context Capabilities?
Skills that share tags, products or a category with Trace AI Context Capabilities: Skill Scanner (getsentry/skills, 1k stars), Forensify (alexgreensh/repo-forensics, 188 stars), Hol Guard (hashgraph-online/hol-guard, 827 stars) and Kesekit Check (cdppcorp/KESE-KIT, 361 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Trace AI Context Capabilities?
cyberful (a GitHub organization) maintains it in cyberful/cyberful, which has 135 GitHub stars. The repository holds 85 skills in this directory. The repository was last updated on August 24, 2026.
Source: cyberful/cyberful on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.