Agent skill

Lampa Search

Debugs JacRed search as Lampa, Lampac PidTor, and NUM actually call it (Jackett v2 card vs query, parselang, isserial, clarification, year gate).

AGPL-3.0Auto-check passed

Install Lampa Search

skills CLI

$ npx skills add jacred-fdb/jacred --skill lampa-search -a claude-code

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

GitHub CLI

$ gh skill install jacred-fdb/jacred lampa-search --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/jacred-fdb/jacred.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.cursor/skills/lampa-search .claude/skills/lampa-search && 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 "lampa-search" agent skill from https://github.com/jacred-fdb/jacred/tree/main/.cursor/skills/lampa-search into .claude/skills/lampa-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lampa-search", 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/jacred-fdb/jacred/tree/main/.cursor/skills/lampa-search

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 jacred-fdb/jacred --skill lampa-search -a codex

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

GitHub CLI

$ gh skill install jacred-fdb/jacred lampa-search --agent codex

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

Manual copy

$ git clone --depth 1 https://github.com/jacred-fdb/jacred.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.cursor/skills/lampa-search .agents/skills/lampa-search && 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 "lampa-search" agent skill from https://github.com/jacred-fdb/jacred/tree/main/.cursor/skills/lampa-search into .agents/skills/lampa-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lampa-search", 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 jacred-fdb/jacred --skill lampa-search -a cursor

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

GitHub CLI

$ gh skill install jacred-fdb/jacred lampa-search --agent cursor

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

Manual copy

$ git clone --depth 1 https://github.com/jacred-fdb/jacred.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.cursor/skills/lampa-search .cursor/skills/lampa-search && 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 "lampa-search" agent skill from https://github.com/jacred-fdb/jacred/tree/main/.cursor/skills/lampa-search into .cursor/skills/lampa-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lampa-search", 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/jacred-fdb/jacred.git --path .cursor/skills/lampa-search

--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 jacred-fdb/jacred --skill lampa-search -a gemini-cli

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

GitHub CLI

$ gh skill install jacred-fdb/jacred lampa-search --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/jacred-fdb/jacred.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.cursor/skills/lampa-search .gemini/skills/lampa-search && 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 "lampa-search" agent skill from https://github.com/jacred-fdb/jacred/tree/main/.cursor/skills/lampa-search into .gemini/skills/lampa-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lampa-search", 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 jacred-fdb/jacred lampa-search

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 jacred-fdb/jacred --skill lampa-search -a github-copilot

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

Manual copy

$ git clone --depth 1 https://github.com/jacred-fdb/jacred.git skills-src && mkdir -p .github/skills && cp -r skills-src/.cursor/skills/lampa-search .github/skills/lampa-search && 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 "lampa-search" agent skill from https://github.com/jacred-fdb/jacred/tree/main/.cursor/skills/lampa-search into .github/skills/lampa-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lampa-search", 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 jacred-fdb/jacred --skill lampa-search -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 jacred-fdb/jacred lampa-search --agent opencode

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

Manual copy

$ git clone --depth 1 https://github.com/jacred-fdb/jacred.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.cursor/skills/lampa-search .opencode/skills/lampa-search && 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 "lampa-search" agent skill from https://github.com/jacred-fdb/jacred/tree/main/.cursor/skills/lampa-search into .opencode/skills/lampa-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lampa-search", 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: lampa-search
GitHub stars: 126
Token cost: ~848 tokens
SKILL.md length: 320 words
Files: 2
Skills in repo: 2
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: AGPL-3.0

At a glance

Debugs JacRed search as Lampa, Lampac PidTor, and NUM actually call it (Jackett v2 card vs query, parselang, isserial, clarification, year gate).

Works in 3 steps: Card TV (Lampa): Query + title +… → Compare with fuzzy: ?query= only (v1… → If (1) empty and (2) hits — card…
Lampa/Lampac torrents are empty
SKILL.md covers Identify the client path, Reproduce (do not guess URLs), Empty card checklist and Anti-patterns, plus 1 more section
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Lampa Search is an agent skill from jacred-fdb/jacred. Debugs JacRed search as Lampa, Lampac PidTor, and NUM actually call it (Jackett v2 card vs query, parselang, isserial, clarification, year gate). Use when Lampa/Lampac torrents are empty, card search misses a tracker, the user mentions parselang, Уточнить, PidTor, NUM, titleoriginal, or Jackett Query vs query.

Its SKILL.md is about 850 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `reference.md`).

The repository describes itself as: JacRed - a torrent tracker aggregator. The licence is AGPL-3.0.

When your agent uses it

Lampa/Lampac torrents are empty
Card search misses a tracker
The user mentions parselang
Jackett Query vs query

Example prompts

“Use the lampa-search skill to debug JacRed search as Lampa, Lampac PidTor, and NUM actually call it (Jackett v2 card vs query, parselang, isserial…”
“/lampa-search”

Workflow steps

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

Card TV (Lampa): Query + title + title_original + year + is_serial=2 + Category[]=5000.
Compare with fuzzy: ?query= only (v1 /api/v1.0/torrents or v2 without titles).
If (1) empty and (2) hits — card year/type/_sn, not “parser broken”.

What it can do on your machine

Read from SKILL.md and the folder at commit 97fa4f0. 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

Lampa Search loads about 848 tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 320 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~82
When it runs · the whole SKILL.md, loaded when a task matches: ~848

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 jacred-fdb/jacred at commit 97fa4f0, republished under its AGPL-3.0 licence (© jacred-fdb). 320 words, ~848 tokens.

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

name: lampa-search
description: Debugs JacRed search as Lampa, Lampac PidTor, and NUM actually call it (Jackett v2 card vs query, parse_lang, is_serial, clarification, year gate). Use when Lampa/Lampac torrents are empty, card search misses a tracker, the user mentions parse_lang, Уточнить, PidTor, NUM, title_original, or Jackett Query vs query.

Lampa / Lampac / NUM search

How torrent clients hit JacRed. Pair with reference.md for URL templates and is_serial maps. Tracker scrape playbook is separate: jacred-tracker-parser.

Local Lampa/Lampac/NUM trees may exist under gitignored temp/ — do not commit them. This skill is the contract.

Identify the client path

Symptom / setting	Path
Lampa card → Torrents, Jackett URL = JacRed	Card — `Query` + title pair + `year` + `is_serial`
Lampa filter Уточнить	Clarification — new `Query`, no `title` / `title_original`, year kept
Lampa global search (`parse_in_search`)	Query-only (`from_search`)
Lampac Online balancer PidTor	Card fields only — no `Query`; anime `is_serial=5`
NUM Android	Query-only + Chrome/106 UA → `NumQueryParser`
Lampa `parser_torrent_type=prowlarr`	Prowlarr `/api/v1/search` — not JacRed card mode
Lampa Rezka / Filmix / `plugins/online*`	Video balansers — not torrent parsers

JacRed is configured as Jackett, not a named indexer. Path is all or status:healthy, never /indexers/rudub/results from stock Lampa.

Reproduce (do not guess URLs)

Replay the same request JacRed sees. Recipes: reference.md.

Card TV (Lampa): Query + title + title_original + year + is_serial=2 + Category[]=5000.
Compare with fuzzy: ?query= only (v1 /api/v1.0/torrents or v2 without titles).
If (1) empty and (2) hits — card year/type/_sn, not “parser broken”.

ASP.NET binds Query and query. Lampa sends capital Query; NUM sends query.

Empty card checklist

Do not “fix” only fuzzy v1.

Names — SearchName(title) equals torrent _sn or _so (exact). Russian _sn OR original _so.
Year — MatchesCardYear: relased<=0 passes; movies ±1; serials >= year-1.
Type — is_serial=1 needs movie (etc.); =2 needs serial; PidTor =5 needs anime.
Allowlist — synctrackers / disable_trackers / indexer path filter.
Clarification — titles omitted; matching is Query/NumQueryParser + leftover year/is_serial.

Lampa’s year dropdown after results filters titles in the UI; it does not re-request JacRed.

Anti-patterns

Treating Rezka/Filmix as torrent parsers
Inventing named Jackett indexer paths for Lampa
Assuming v1 ?search= is what the card button sends
Ignoring parse_lang (default df = original title as Query)
Changing tracker parse when the miss is card year/is_serial

Contract tables: reference.md
JacRed v2: Controllers/JackettController.cs, Application/Search/JackettCardMatcher.cs, Infrastructure/Indexers/NumQueryParser.cs
User docs: docs/clients/overview.mdx, docs/api-reference/jackett.mdx
Tracker parsers: jacred-tracker-parser

Files

SKILL.md and 1 other file in .cursor/skills/lampa-search of jacred-fdb/jacred.

SKILL.md
reference.md

Open the folder on GitHubat commit 97fa4f0

Compare with similar skills

Lampa Search 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.

Lampa Search compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Lampa Search this skilljacred-fdb/jacred	126	—	~848	Automated safety check: Pass	AGPL-3.0	2 days ago
Debugasgeirtj/system_prompts_leaks	69k	—	~439	Automated safety check: Pass	CC0-1.0	yesterday
Openclaw Debuggingopenclaw/openclaw	392k	—	~1.9k	Automated safety check: Pass	MIT	today
Debugging Executionsn8n-io/n8n	207k	—	~2.6k	Automated safety check: Pass	Custom licence	today
DebuggingJetBrains/intellij-community	21k	—	~422	Automated safety check: Pass	Custom licence	today
Debugging Toolkitsickn33/agentic-awesome-skills	47k	1 repos	~344	Automated safety check: Pass	MIT	2 days ago

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Questions about Lampa Search

What does Lampa Search do?

Debugs JacRed search as Lampa, Lampac PidTor, and NUM actually call it (Jackett v2 card vs query, parselang, isserial, clarification, year gate). Lampa Search is an agent skill from jacred-fdb/jacred. Debugs JacRed search as Lampa, Lampac PidTor, and NUM actually call it (Jackett v2 card vs query, parselang, isserial, clarification, year gate).

When should I use Lampa Search?

Lampa Search fits situations like: lampa/Lampac torrents are empty; card search misses a tracker; the user mentions parselang; jackett Query vs query.

How do I install Lampa Search in Claude Code?

Run `npx skills add jacred-fdb/jacred --skill lampa-search -a claude-code`. Or copy the skill folder (.cursor/skills/lampa-search in jacred-fdb/jacred) into .claude/skills/lampa-search in your project. Claude Code loads it when a task matches its description.

How do I install Lampa Search in Codex?

Run `npx skills add jacred-fdb/jacred --skill lampa-search -a codex`. Or copy the skill folder (.cursor/skills/lampa-search in jacred-fdb/jacred) into .agents/skills/lampa-search in your project. Codex loads it when a task matches its description.

Can I use Lampa Search 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 jacred-fdb/jacred --skill lampa-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lampa-search, .gemini/skills/lampa-search, .github/skills/lampa-search and .opencode/skills/lampa-search in your project.

What does Lampa Search need to run?

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

Does Lampa Search 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 Lampa Search 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 Lampa Search use?

Lampa Search 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 Lampa Search use?

About 848 tokens (SKILL.md is roughly 3.4k 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 Lampa Search?

Skills that share tags, products or a category with Lampa Search: Debug (asgeirtj/system_prompts_leaks, 69k stars), Openclaw Debugging (openclaw/openclaw, 392k stars), Debugging Executions (n8n-io/n8n, 207k stars) and Debugging (JetBrains/intellij-community, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lampa Search?

jacred-fdb (a GitHub organization) maintains it in jacred-fdb/jacred, which has 126 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 9, 2026.

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

Lampa Search

Install Lampa Search

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

Lampa / Lampac / NUM search

Identify the client path

Reproduce (do not guess URLs)

Empty card checklist

Anti-patterns

Files

Compare with similar skills

Similar skills

Debug

Openclaw Debugging

Debugging Executions

Debugging

Debugging Toolkit

Runtime Debug

More from jacred-fdb/jacred

Jacred Tracker Parser

Questions about Lampa Search

Install Lampa Search

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

Lampa / Lampac / NUM search

Identify the client path

Reproduce (do not guess URLs)

Empty card checklist

Anti-patterns

Related

Files

Compare with similar skills

Similar skills

Debug

Openclaw Debugging

Debugging Executions

Debugging

Debugging Toolkit

Runtime Debug

More from jacred-fdb/jacred

Jacred Tracker Parser

Questions about Lampa Search