Fla Ascend Performance
fla-org/flash-linear-attention
Guidelines for Ascend NPU kernel / Triton-Ascend backend performance work in the FLA repo.
A skill your agent uses when deciding whether a security project fits ACM CCS versus IEEE S&P, USENIX Security, NDSS, PETS, or a crypto/theory venue, identifying the security contribution type, and…
Install Ccs Topic Selection
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-topic-selection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ccs-topic-selection --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/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ACM-CCS-Skills/skills/ccs-topic-selection .claude/skills/ccs-topic-selection && 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 "ccs-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-CCS-Skills/skills/ccs-topic-selection into .claude/skills/ccs-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccs-topic-selection", 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/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-CCS-Skills/skills/ccs-topic-selectionType 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 brycewang-stanford/Awesome-Journal-Skills --skill ccs-topic-selection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ccs-topic-selection --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ACM-CCS-Skills/skills/ccs-topic-selection .agents/skills/ccs-topic-selection && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ccs-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-CCS-Skills/skills/ccs-topic-selection into .agents/skills/ccs-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccs-topic-selection", 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 brycewang-stanford/Awesome-Journal-Skills --skill ccs-topic-selection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ccs-topic-selection --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ACM-CCS-Skills/skills/ccs-topic-selection .cursor/skills/ccs-topic-selection && 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 "ccs-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-CCS-Skills/skills/ccs-topic-selection into .cursor/skills/ccs-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccs-topic-selection", 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/brycewang-stanford/Awesome-Journal-Skills.git --path ACM-CCS-Skills/skills/ccs-topic-selection--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 brycewang-stanford/Awesome-Journal-Skills --skill ccs-topic-selection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ccs-topic-selection --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ACM-CCS-Skills/skills/ccs-topic-selection .gemini/skills/ccs-topic-selection && 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 "ccs-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-CCS-Skills/skills/ccs-topic-selection into .gemini/skills/ccs-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccs-topic-selection", 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 brycewang-stanford/Awesome-Journal-Skills ccs-topic-selectionInstalls 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 brycewang-stanford/Awesome-Journal-Skills --skill ccs-topic-selection -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/ACM-CCS-Skills/skills/ccs-topic-selection .github/skills/ccs-topic-selection && 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 "ccs-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-CCS-Skills/skills/ccs-topic-selection into .github/skills/ccs-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccs-topic-selection", 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 brycewang-stanford/Awesome-Journal-Skills --skill ccs-topic-selection -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ccs-topic-selection --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ACM-CCS-Skills/skills/ccs-topic-selection .opencode/skills/ccs-topic-selection && 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 "ccs-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-CCS-Skills/skills/ccs-topic-selection into .opencode/skills/ccs-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccs-topic-selection", 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
ccs-topic-selection- GitHub stars
- 1.2k
- Token cost
- ~945 tokens
- SKILL.md length
- 437 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when deciding whether a security project fits ACM CCS versus IEEE S&P, USENIX Security, NDSS, PETS, or a crypto/theory venue, identifying the security contribution type, and…
- Deciding whether a security project fits ACM CCS versus IEEE S&P
- SKILL.md covers Fit test, Fit signal table, Vignette: where a side-channel… and Sharpening moves before…, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- USENIX Security
What it does
Ccs Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a security project fits ACM CCS versus IEEE S&P, USENIX Security, NDSS, PETS, or a crypto/theory venue, identifying the security contribution type, and sharpening the threat model and attacker capability before writing begins.
Its SKILL.md is about 950 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Security, covering Threat modeling. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.
When your agent uses it
- Deciding whether a security project fits ACM CCS versus IEEE S&P
- USENIX Security
- A crypto/theory venue
- Identifying the security contribution type
Example prompts
- “/ccs-topic-selection”
What it can do on your machine
Read from SKILL.md and the folder at commit 932eb23. 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
Ccs Topic Selection loads about 945 tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 437 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 brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 437 words, ~945 tokens.
Download SKILL.mdSave it as
.claude/skills/ccs-topic-selection/SKILL.md (or your agent's skills folder).- name
- ccs-topic-selection
- description
- Use when deciding whether a security project fits ACM CCS versus IEEE S&P, USENIX Security, NDSS, PETS, or a crypto/theory venue, identifying the security contribution type, and sharpening the threat model and attacker capability before writing begins.
CCS Topic Selection
Use this before writing. ACM CCS is the SIGSAC flagship: it rewards work with a concrete attacker, a defensible threat model, and evidence that survives an adversarial program committee. Decide venue by community and contribution type, never by prestige ranking.
Fit test
- Prefer CCS when the contribution is a broad computer-security result — a new attack class, a defense with measured cost, an applied-cryptography protocol, a systems or web-security mechanism, or a measurement study — aimed at the cross-area SIGSAC community.
- Route to IEEE S&P (Oakland) when the work suits that PC's taste for foundational or systematization framing and the November cycle fits your calendar better.
- Route to USENIX Security when the contribution is artifact-heavy systems security whose evidence lives in a runnable tool and open benchmark.
- Route to NDSS when the core is network- and distributed-system security (protocols, DNS, routing, malware infrastructure).
- Route to PETS/PoPETs when privacy is the primary lens rather than one property among many.
- Route to CRYPTO/EUROCRYPT when the contribution is cryptographic theory whose proof, not its deployment, is the result.
Fit signal table
| Signal in the project | CCS reading |
|---|---|
| New attack with a clearly bounded adversary and demonstrated impact | Core fit — the house genre |
| Defense evaluated against adaptive attacks with deployment cost | Core fit |
| Applied crypto protocol with implementation and measured overhead | Core fit |
| Internet-scale or ecosystem measurement with validated sampling | Core fit |
| Pure cryptographic hardness proof, no system | CRYPTO/EUROCRYPT or a theory venue |
| Privacy-first metrics with no other security property | PETS/PoPETs |
Show full SKILL.md (189 more words)Show less
Vignette: where a side-channel result goes
A project extracts keys from a deployed TLS library via a microarchitectural side channel, with a proof-of-concept exploit and a constant-time patch. CCS reading: strong fit — a concrete attacker, measured leakage, and a defense with overhead numbers is exactly the CCS arc. Strip the exploit and keep only an abstract leakage bound, and it drifts toward a crypto theory venue; expand the network-measurement of vulnerable hosts into the whole story, and NDSS becomes plausible; foreground only the privacy harm to users, and PETS fits better.
Sharpening moves before committing
- Name the attacker: capabilities, knowledge, position, and what success means. If you cannot write the threat model in three sentences, the contribution is not yet CCS-shaped.
- Decide the contribution type — attack, defense, protocol, measurement, tool, or study — because reviewers grade each against a different evidence bar.
- Confirm the result fits the 12-page ACM sigconf body; CCS bodies are dense, and a paper needing 30 pages of proofs may belong at a journal or a theory venue.
- Scope drifts across cycles; scan the current CFP topic list and recent proceedings before final routing.
Output format
[Fit] strong CCS / possible CCS / better elsewhere
[Best venue] CCS / IEEE S&P / USENIX Security / NDSS / PETS / crypto venue / other
[Contribution type] attack / defense / protocol / measurement / tool / study
[Threat model in one line] <adversary capability and goal>
[Top rejection risk] <threat-model / novelty / evidence / ethics / scope>
[Next action] <sharpen threat model, add evidence, reframe, or switch venue>© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in ACM-CCS-Skills/skills/ccs-topic-selection of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Ccs Topic Selection 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 |
|---|---|---|---|---|---|---|
| Ccs Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~945 | Automated safety check: Pass | MIT | |
| Fla Ascend Performancefla-org/flash-linear-attention | 5.8k | — | ~6.3k | Automated safety check: Pass | MIT | |
| Forensifyalexgreensh/repo-forensics | 188 | — | ~2.5k | Automated safety check: Notes | Custom licence | |
| Create Rulecartography-cncf/cartography | 4.1k | — | ~3k | Automated safety check: Pass | Apache-2.0 | |
| Commit Security Scancodexstar69/bug-hunter | 519 | — | ~629 | Automated safety check: Pass | MIT | |
| Auditing Code For Vulnerabilitiestrilwu/secskills | 156 | — | ~3.2k | Automated safety check: Pass | MIT |
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alexgreensh/repo-forensics
Cross-agent self-inspection of your AI-agent stack. An agent skill from alexgreensh/repo-forensics.
Create Rule
cartography-cncf/cartography
Author a Cartography security rule (one or more Cypher Facts plus a Pydantic Finding output model) under cartography/rules/data/rules/.
Commit Security Scan
codexstar69/bug-hunter
Scan code changes for security vulnerabilities using Bug Hunter-native artifacts and STRIDE context.
Auditing Code For Vulnerabilities
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Audit source code for exploitable vulnerabilities using threat-model-driven review, taint tracing, invariant checking, and variant analysis.
Threat Mitigation Mapping
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Match identified threats to preventive, detective and corrective controls across network, application, data, endpoint and process layers to plan remediation.
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Questions about Ccs Topic Selection
What does Ccs Topic Selection do?
A skill your agent uses when deciding whether a security project fits ACM CCS versus IEEE S&P, USENIX Security, NDSS, PETS, or a crypto/theory venue, identifying the security contribution type, and…. Ccs Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a security project fits ACM CCS versus IEEE S&P, USENIX Security, NDSS, PETS, or a crypto/theory venue, identifying the security contribution type, and sharpening the threat model and attacker capability before writing begins.
When should I use Ccs Topic Selection?
Ccs Topic Selection fits situations like: deciding whether a security project fits ACM CCS versus IEEE S&P; USENIX Security; A crypto/theory venue; identifying the security contribution type.
How do I install Ccs Topic Selection in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-topic-selection -a claude-code`. Or copy the skill folder (ACM-CCS-Skills/skills/ccs-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/ccs-topic-selection in your project. Claude Code loads it when a task matches its description.
How do I install Ccs Topic Selection in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-topic-selection -a codex`. Or copy the skill folder (ACM-CCS-Skills/skills/ccs-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/ccs-topic-selection in your project. Codex loads it when a task matches its description.
Can I use Ccs Topic Selection 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 brycewang-stanford/Awesome-Journal-Skills --skill ccs-topic-selection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ccs-topic-selection, .gemini/skills/ccs-topic-selection, .github/skills/ccs-topic-selection and .opencode/skills/ccs-topic-selection in your project.
What does Ccs Topic Selection need to run?
SKILL.md names no scripts, command-line tools or credentials: Ccs Topic Selection is instructions for the agent only.
Does Ccs Topic Selection 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 Ccs Topic Selection 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 Ccs Topic Selection use?
Ccs Topic Selection 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 Ccs Topic Selection use?
About 945 tokens (SKILL.md is roughly 3.8k 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 Ccs Topic Selection?
Skills that share tags, products or a category with Ccs Topic Selection: Fla Ascend Performance (fla-org/flash-linear-attention, 5.8k stars), Forensify (alexgreensh/repo-forensics, 188 stars), Create Rule (cartography-cncf/cartography, 4.1k stars) and Commit Security Scan (codexstar69/bug-hunter, 519 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ccs Topic Selection?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.