Fla Ascend Performance
fla-org/flash-linear-attention
Guidelines for Ascend NPU kernel / Triton-Ascend backend performance work in the FLA repo.
Evidence hygiene before any FIND moves to Completed or enters a report.
$ npx skills add Encod3d-Sec/TORCH --skill evidence -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Encod3d-Sec/TORCH evidence --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/Encod3d-Sec/TORCH.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/workflow/evidence .claude/skills/evidence && 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 "evidence" agent skill from https://github.com/Encod3d-Sec/TORCH/tree/main/skills/workflow/evidence into .claude/skills/evidence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evidence", 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/Encod3d-Sec/TORCH/tree/main/skills/workflow/evidenceType 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 Encod3d-Sec/TORCH --skill evidence -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Encod3d-Sec/TORCH evidence --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Encod3d-Sec/TORCH.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/workflow/evidence .agents/skills/evidence && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "evidence" agent skill from https://github.com/Encod3d-Sec/TORCH/tree/main/skills/workflow/evidence into .agents/skills/evidence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evidence", 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 Encod3d-Sec/TORCH --skill evidence -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Encod3d-Sec/TORCH evidence --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Encod3d-Sec/TORCH.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/workflow/evidence .cursor/skills/evidence && 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 "evidence" agent skill from https://github.com/Encod3d-Sec/TORCH/tree/main/skills/workflow/evidence into .cursor/skills/evidence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evidence", 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/Encod3d-Sec/TORCH.git --path skills/workflow/evidence--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 Encod3d-Sec/TORCH --skill evidence -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Encod3d-Sec/TORCH evidence --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Encod3d-Sec/TORCH.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/workflow/evidence .gemini/skills/evidence && 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 "evidence" agent skill from https://github.com/Encod3d-Sec/TORCH/tree/main/skills/workflow/evidence into .gemini/skills/evidence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evidence", 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 Encod3d-Sec/TORCH evidenceInstalls 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 Encod3d-Sec/TORCH --skill evidence -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Encod3d-Sec/TORCH.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/workflow/evidence .github/skills/evidence && 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 "evidence" agent skill from https://github.com/Encod3d-Sec/TORCH/tree/main/skills/workflow/evidence into .github/skills/evidence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evidence", 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 Encod3d-Sec/TORCH --skill evidence -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Encod3d-Sec/TORCH evidence --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Encod3d-Sec/TORCH.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/workflow/evidence .opencode/skills/evidence && 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 "evidence" agent skill from https://github.com/Encod3d-Sec/TORCH/tree/main/skills/workflow/evidence into .opencode/skills/evidence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evidence", 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.
evidenceEvidence hygiene before any FIND moves to Completed or enters a report.
Evidence is an agent skill from Encod3d-Sec/TORCH. Evidence hygiene before any FIND moves to Completed or enters a report. Cookie redaction, PII black-bar, HAR sanitization, screenshot metadata strip. Run after /triage passes and before final report assembly.
Its SKILL.md is about 700 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. The repository describes itself as: Karpathy LLM based claude harness for PenetrationTesting / Bugbounty using obsidian. The licence is MIT.
Read from SKILL.md and the folder at commit d21b6c9. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
jqFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Evidence loads about 700 tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 159 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.
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.
The full file from Encod3d-Sec/TORCH at commit d21b6c9, republished under its MIT licence (© Encod3d-Sec). 159 words, ~700 tokens.
.claude/skills/evidence/SKILL.md (or your agent's skills folder).Run this BEFORE attaching any screenshot, HAR, or request/response to a finding report.
[ ] Network tab Headers panel collapsed or out of frame
[ ] Burp Request panel hidden behind divider
[ ] No "Copy as cURL" output visible on screen
[ ] DevTools Application -> Cookies tab closed
[ ] Browser URL bar does not show a session token in query stringMust redact:
Safe to leave:
Redaction method: black rectangle annotation over the cookie value in your image editor. OR use DevTools credentials: 'include' in fetch PoC so cookies never appear in the screenshot.
# Save this as ~/bin/sanitize_har
sanitize_har() {
local input="$1"
local output="${1%.har}.sanitized.har"
jq '
.log.entries |= map(
(.request.headers |= map(
if .name | ascii_downcase | IN("cookie", "authorization", "x-csrf-token")
then .value = "<REDACTED>" else . end
)) |
(.response.headers |= map(
if .name | ascii_downcase | IN("set-cookie") then .value = "<REDACTED>" else . end
)) |
(.request.cookies |= map(.value = "<REDACTED>")) |
(.response.cookies |= map(.value = "<REDACTED>"))
)
' "$input" > "$output"
echo "Sanitized: $output"
}
# Verify:
grep -i 'authorization\|"cookie"\|set-cookie' "${1%.har}.sanitized.har" | head -5When PoC exposes another user's data (IDOR, etc.):
In report body: state "Real PII fields masked with black rectangles per responsible-disclosure hygiene. Unredacted version available on request."
FIND-XXX-step1-pre-state.png
FIND-XXX-step2-exploitation.png
FIND-XXX-step3-post-state.png[ ] Open screenshot at full resolution -- search for cookie name substring
[ ] Confirm no internal IPs visible that shouldn't be in report
[ ] Rotate test account credentials after report submission© Encod3d-Sec, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/workflow/evidence of Encod3d-Sec/TORCH.
Open the folder on GitHubat commit d21b6c9
Evidence 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 |
|---|---|---|---|---|---|---|
| Evidence this skillEncod3d-Sec/TORCH | 329 | — | ~700 | Automated safety check: Pass | MIT | |
| Fla Ascend Performancefla-org/flash-linear-attention | 5.8k | — | ~6.3k | 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 | 481 | 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 |
fla-org/flash-linear-attention
Guidelines for Ascend NPU kernel / Triton-Ascend backend performance work in the FLA repo.
vercel-labs/deepsec
Points the agent at deepsec's own docs to answer questions about initializing, configuring, resuming, scanning with and extending the vulnerability scanner.
getsentry/skills
Scan agent skills for security issues. An agent skill from getsentry/skills.
yan-labs/serenity-aleabitoreddit
Apply trader Serenity's (@aleabitoreddit) AI/semiconductor supply-chain analytical lens to US-stock ideas and market judgment.
elastic/agent-skills
Triage Elastic Security alerts — gather context, classify threats, create cases, and acknowledge.
SummerSec/ShiroAttack2
当用户要求利用、检测或测试 Apache Shiro rememberMe 反序列化漏洞 (Shiro-550, CVE-2016-4437) 时使用。触发词包括 "Shiro"、"rememberMe"、"shiro attack"、"CVE-2016-4437"、"Shiro-550"、"爆破 Shiro key"、"利用 Shiro"、"Shiro…
Encod3d-Sec/TORCH
Runs a bug-bounty engagement through a script that tracks the current pass, builds a board of rows from recon and prints the next required action each turn.
Encod3d-Sec/TORCH
Checks that the bb, pt and ctf workflow driver is set up correctly on a machine: vault content, skill symlinks, hooks, imports and a live smoke test, with fixes for failures.
Encod3d-Sec/TORCH
Opens a visible Chromium window on a Kali VM so an operator can complete a manual login or CAPTCHA while the agent watches and acts through the chrome-devtools MCP.
Encod3d-Sec/TORCH
Runs a capture-the-flag box from first scan to root with a driver script that tracks progress and prints the next action each turn.
Encod3d-Sec/TORCH
Decides when a main pentesting agent should hand a fully-specified, mechanical exploit-compile or privilege-escalation step to a cheaper sub-agent, and how to specify that handoff safely.
Encod3d-Sec/TORCH
Adaptive web fuzzing for pentests, bug bounty and CTF work: picks the smallest suitable SecLists wordlist per target surface and calibrates filters against soft-404 responses.
Categories
Evidence hygiene before any FIND moves to Completed or enters a report. Evidence is an agent skill from Encod3d-Sec/TORCH. Evidence hygiene before any FIND moves to Completed or enters a report.
Evidence fits situations like: security work in your project.
Run `npx skills add Encod3d-Sec/TORCH --skill evidence -a claude-code`. Or copy the skill folder (skills/workflow/evidence in Encod3d-Sec/TORCH) into .claude/skills/evidence in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Encod3d-Sec/TORCH --skill evidence -a codex`. Or copy the skill folder (skills/workflow/evidence in Encod3d-Sec/TORCH) into .agents/skills/evidence in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Encod3d-Sec/TORCH --skill evidence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/evidence, .gemini/skills/evidence, .github/skills/evidence and .opencode/skills/evidence in your project.
Going by SKILL.md and its folder, Evidence needs the command-line tools its instructions call (jq).
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.
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.
Evidence is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 700 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Evidence: 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, 481 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Encod3d-Sec (a GitHub user) maintains it in Encod3d-Sec/TORCH, which has 329 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on September 1, 2026.
Source: Encod3d-Sec/TORCH on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.