Fla Ascend Performance
fla-org/flash-linear-attention
Guidelines for Ascend NPU kernel / Triton-Ascend backend performance work in the FLA repo.
Reconstruct request and event causality across gateways, services, queues, workers, data stores, and external providers while preserving identity, tenant, authorization, retry, and side-effect…
Install Trace Distributed Request Causality
$ npx skills add cyberful/cyberful --skill trace-distributed-request-causality -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install cyberful/cyberful trace-distributed-request-causality --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-distributed-request-causality .claude/skills/trace-distributed-request-causality && 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-distributed-request-causality" agent skill from https://github.com/cyberful/cyberful/tree/main/cyberful/builtin/skills/trace-distributed-request-causality into .claude/skills/trace-distributed-request-causality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trace-distributed-request-causality", 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-distributed-request-causalityType 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-distributed-request-causality -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install cyberful/cyberful trace-distributed-request-causality --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-distributed-request-causality .agents/skills/trace-distributed-request-causality && 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-distributed-request-causality" agent skill from https://github.com/cyberful/cyberful/tree/main/cyberful/builtin/skills/trace-distributed-request-causality into .agents/skills/trace-distributed-request-causality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trace-distributed-request-causality", 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-distributed-request-causality -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install cyberful/cyberful trace-distributed-request-causality --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-distributed-request-causality .cursor/skills/trace-distributed-request-causality && 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-distributed-request-causality" agent skill from https://github.com/cyberful/cyberful/tree/main/cyberful/builtin/skills/trace-distributed-request-causality into .cursor/skills/trace-distributed-request-causality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trace-distributed-request-causality", 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-distributed-request-causality--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-distributed-request-causality -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install cyberful/cyberful trace-distributed-request-causality --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-distributed-request-causality .gemini/skills/trace-distributed-request-causality && 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-distributed-request-causality" agent skill from https://github.com/cyberful/cyberful/tree/main/cyberful/builtin/skills/trace-distributed-request-causality into .gemini/skills/trace-distributed-request-causality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trace-distributed-request-causality", 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-distributed-request-causalityInstalls 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-distributed-request-causality -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-distributed-request-causality .github/skills/trace-distributed-request-causality && 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-distributed-request-causality" agent skill from https://github.com/cyberful/cyberful/tree/main/cyberful/builtin/skills/trace-distributed-request-causality into .github/skills/trace-distributed-request-causality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trace-distributed-request-causality", 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-distributed-request-causality -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-distributed-request-causality --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-distributed-request-causality .opencode/skills/trace-distributed-request-causality && 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-distributed-request-causality" agent skill from https://github.com/cyberful/cyberful/tree/main/cyberful/builtin/skills/trace-distributed-request-causality into .opencode/skills/trace-distributed-request-causality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trace-distributed-request-causality", 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-distributed-request-causality- GitHub stars
- 134
- Token cost
- ~617 tokens
- SKILL.md length
- 197 words
- Files
- 3 (incl. references)
- Skills in repo
- 85
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
Reconstruct request and event causality across gateways, services, queues, workers, data stores, and external providers while preserving identity, tenant, authorization, retry, and side-effect…
- Distributed security dataflow and incident reconstruction
- SKILL.md covers Build the graph and Locate security discontinuities
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Trace Distributed Request Causality is an agent skill from cyberful/cyberful. Reconstruct request and event causality across gateways, services, queues, workers, data stores, and external providers while preserving identity, tenant, authorization, retry, and side-effect evidence. Use for distributed security dataflow and incident reconstruction.
Its SKILL.md is about 620 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/distributed-causality-ledger.md`).
It sits in 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
- Distributed security dataflow and incident reconstruction
Example prompts
- “/trace-distributed-request-causality”
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
No scripts in the folder and no shell commands in SKILL.md.
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 Distributed Request Causality loads about 617 tokens when it runs, and up to ~996 if it reads all its reference files. Until then it costs about 76 tokens; SKILL.md has 197 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from cyberful/cyberful at commit ec598a6, republished under its AGPL-3.0 licence (© cyberful). 197 words, ~617 tokens.
Download SKILL.mdSave it as
.claude/skills/trace-distributed-request-causality/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- trace-distributed-request-causality
- description
- Reconstruct request and event causality across gateways, services, queues, workers, data stores, and external providers while preserving identity, tenant, authorization, retry, and side-effect evidence. Use for distributed security dataflow and incident reconstruction.
- metadata.domain
- application-security
- metadata.subdomain
- distributed-causality
- metadata.triggers
- trace distributed request causality, reconstruct cross service request path, correlate distributed security evidence, trace request through queues and…
- metadata.tags
- distributed-systems, tracing, causality, correlation, queues, evidence
Trace Distributed Request Causality
Reconstruct a directed evidence graph, not a timestamp-sorted story. Each edge must state why one event caused, forwarded, retried, derived, or observed another, and which evidence supports that relation.
Read distributed-causality-ledger.md when correlating identifiers, clocks, retries, queues, or partial evidence.
Build the graph
Start from a known request, message, state transition, or side effect. Collect gateway and service spans, structured logs, message metadata, database audit records, job history, provider callbacks, and client evidence. Normalize clocks and preserve original timestamps plus uncertainty.
For every node record actor, tenant, credential or delegation reference, operation, object, policy decision, trace/span/request/message/idempotency identifiers, retry attempt, state before/after, and evidence pointer. Label inferred edges explicitly and state the competing explanation.
Locate security discontinuities
Identify where identity, tenant, scopes, object binding, policy decision, canonical input, idempotency, or trace context changes or disappears. Separate duplicate observation from duplicate execution and upstream timeout from downstream rollback or continued work.
Deliver the minimal causal chain supporting the security conclusion, unresolved gaps, confidence per edge, and the next discriminating artifact. Use trace-identity-propagation or trace-tenant-context-propagation when that single context is the primary question; use this skill when multiple services and async edges must be reconciled together.
© 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 2 other files (references) in cyberful/builtin/skills/trace-distributed-request-causality of cyberful/cyberful.
- SKILL.md
- agents/openai.yaml
- references/distributed-causality-ledger.md
Open the folder on GitHubat commit ec598a6
Compare with similar skills
Trace Distributed Request Causality 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 Distributed Request Causality this skillcyberful/cyberful | 134 | — | ~617 | Automated safety check: Pass | AGPL-3.0 | |
| Fla Ascend Performancefla-org/flash-linear-attention | 5.8k | — | ~5.6k | Automated safety check: Pass | MIT | |
| Deepsec Documentation Guidevercel-labs/deepsec | 8.1k | — | ~956 | Automated safety check: Pass | Apache-2.0 | |
| Skill Scannergetsentry/skills | 1k | 4 repos | ~2.5k | Automated safety check: Warn | Apache-2.0 | |
| Serenity Aleabitoreddityan-labs/serenity-aleabitoreddit | 479 | 1 repos | ~3.3k | Automated safety check: Pass | None | |
| Security Alert Triageelastic/agent-skills | 592 | 1 repos | ~3.5k | Automated safety check: Notes | Apache-2.0 |
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Related
Categories
Questions about Trace Distributed Request Causality
What does Trace Distributed Request Causality do?
Reconstruct request and event causality across gateways, services, queues, workers, data stores, and external providers while preserving identity, tenant, authorization, retry, and side-effect…. Trace Distributed Request Causality is an agent skill from cyberful/cyberful. Reconstruct request and event causality across gateways, services, queues, workers, data stores, and external providers while preserving identity, tenant, authorization, retry, and side-effect evidence.
When should I use Trace Distributed Request Causality?
Trace Distributed Request Causality fits situations like: distributed security dataflow and incident reconstruction.
How do I install Trace Distributed Request Causality in Claude Code?
Run `npx skills add cyberful/cyberful --skill trace-distributed-request-causality -a claude-code`. Or copy the skill folder (cyberful/builtin/skills/trace-distributed-request-causality in cyberful/cyberful) into .claude/skills/trace-distributed-request-causality in your project. Claude Code loads it when a task matches its description.
How do I install Trace Distributed Request Causality in Codex?
Run `npx skills add cyberful/cyberful --skill trace-distributed-request-causality -a codex`. Or copy the skill folder (cyberful/builtin/skills/trace-distributed-request-causality in cyberful/cyberful) into .agents/skills/trace-distributed-request-causality in your project. Codex loads it when a task matches its description.
Can I use Trace Distributed Request Causality 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-distributed-request-causality -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-distributed-request-causality, .gemini/skills/trace-distributed-request-causality, .github/skills/trace-distributed-request-causality and .opencode/skills/trace-distributed-request-causality in your project.
What does Trace Distributed Request Causality need to run?
SKILL.md names no scripts, command-line tools or credentials: Trace Distributed Request Causality is instructions for the agent only.
Does Trace Distributed Request Causality 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 Distributed Request Causality 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 Trace Distributed Request Causality use?
Trace Distributed Request Causality 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 Distributed Request Causality use?
About 617 tokens (SKILL.md is roughly 2.5k 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 379 tokens, read only when the agent opens those files.
What are the alternatives to Trace Distributed Request Causality?
Skills that share tags, products or a category with Trace Distributed Request Causality: Fla Ascend Performance (fla-org/flash-linear-attention, 5.8k stars), Deepsec Documentation Guide (vercel-labs/deepsec, 8.1k stars), Skill Scanner (getsentry/skills, 1k stars) and Serenity Aleabitoreddit (yan-labs/serenity-aleabitoreddit, 479 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Trace Distributed Request Causality?
cyberful (a GitHub organization) maintains it in cyberful/cyberful, which has 134 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.