Agent skill

Signal Detector

by garrytan in garrytan/gbrain

Opt-in ambient signal capture. An agent skill from garrytan/gbrain.

MITAuto-check passedAgent Workflows

Install Signal Detector

skills CLI
$ npx skills add garrytan/gbrain --skill signal-detector -a claude-code

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

GitHub CLI
$ gh skill install garrytan/gbrain signal-detector --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/garrytan/gbrain.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/signal-detector .claude/skills/signal-detector && 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/

Facts

Skill name
signal-detector
GitHub stars
31k
Token cost
~2k tokens
SKILL.md length
1,038 words
Files
1
Skills in repo
47
Repo updated
First seen
Licence
MIT

At a glance

Opt-in ambient signal capture. An agent skill from garrytan/gbrain.

  • Works in 3 steps: Idea/Observation Detection (PRIMARY) → Entity Detection (SECONDARY) → Signal Logging
  • Tasks that involve Subagents
  • SKILL.md covers Contract, Enablement before capture, Per-User Storage Policy and Phases, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Signal Detector is an agent skill from garrytan/gbrain. Opt-in ambient signal capture. After explicit enablement, applies on substantive inbound messages to detect original thinking and entity mentions. Use an authorized sub-agent where supported; otherwise detect inline. Aim to never block the main response.

Its SKILL.md is about 2k 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 Agent Workflows, covering Subagents. The repository describes itself as: Garry's Opinionated OpenClaw/Hermes Agent Brain. The licence is MIT.

When your agent uses it

  • Tasks that involve Subagents

Example prompts

  • “/signal-detector”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Idea/Observation Detection (PRIMARY)
  2. Entity Detection (SECONDARY)
  3. Signal Logging

What it can do on your machine

Read from SKILL.md and the folder at commit f250a51. 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

Signal Detector loads about 2k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 1,038 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~2k

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 garrytan/gbrain at commit f250a51, republished under its MIT licence (© garrytan). 1,038 words, ~2,000 tokens.

Download SKILL.mdSave it as .claude/skills/signal-detector/SKILL.md (or your agent's skills folder).
name
signal-detector
description
Opt-in ambient signal capture. After explicit enablement, applies on substantive inbound messages to detect original thinking and entity mentions. Use an authorized sub-agent where supported; otherwise detect inline. Aim to never block the main response.
version
1.1.0
triggers
every substantive inbound message after automatic-capture opt-in
tools
search, query, get_page, put_page, add_link, add_timeline_entry
mutating
true
writes_pages
true
writes_to
people/, companies/, concepts/

Signal Detector — Ambient Brain Capture

After the user enables automatic capture, apply this lightweight pass to substantive inbound messages within their chosen scope. It watches for:

  1. Original thinking — the user's ideas, observations, theses, frameworks
  2. Entity mentions — people, companies, media references

Original thinking is AT LEAST as valuable as entity extraction. Ideas are the intellectual capital. Entities are bookkeeping. Both compound over time.

Contract

This skill guarantees:

  • Applies only after explicit automatic-capture opt-in (skips: no recorded choice, capture off, chat-only requests, and purely operational messages)
  • Spawns as a sub-agent where the harness supports it; otherwise runs the detection inline before composing the reply. Never blocking the response is the intent, not a runtime contract
  • Checks the user's stored capture choice before writing and honors narrower per-message instructions; a first-fire announcement is not consent
  • Captures ideas with the user's EXACT phrasing (no paraphrasing)
  • Detects entity mentions and creates/enriches brain pages
  • Logs a one-line summary of what was captured
  • Back-links all entity mentions (Iron Law)
  • Citations on every fact written

Ambient routing is a harness convention that a well-behaved agent follows, not a mechanical guarantee; nothing in the gbrain runtime blocks a reply if the skill never loads. On harnesses without per-message ambient routing (Claude Code, Codex), apply this skill as an agent convention or wire it via a prompt-submit hook. When the operator has enabled memory.auto_writeback (off by default; gbrain config set memory.auto_writeback salient), the MCP server's initialize instructions and the managed bootstrap instruction blocks carry the ambient-writeback contract to the agent, and on Claude Code a Stop-hook extraction backstop catches turns the convention missed. That is still a convention on the agent side — server-delivered instructions plus a backstop, not a mechanical guarantee.

Convention: See skills/conventions/quality.md for Iron Law back-linking.

Every time this skill creates or updates a brain page that mentions a person or company:

  1. Check if that person/company has a brain page
  2. If yes → add a back-link FROM their page TO the page you just created/updated
  3. Format: - **YYYY-MM-DD** | Referenced in [page title](path) — brief context
  4. An unlinked mention is a broken brain.

Enablement before capture

Automatic capture is off by default. Before writing, establish an explicit user choice for this brain and capture scope. A stored opt-in or an explicitly enabled memory.auto_writeback mode can supply that choice; off, a missing or unreadable choice cannot. Reading this skill, installing GBrain, an available API key, silence, or an announcement that capture is on does not authorize it.

If the user asks to enable capture, explain what will be retained and record the accepted choice. Honor an existing choice without asking again. A request to remember one fact authorizes that fact, not future ambient capture. Delegation and paid enrichment are separate capabilities: capture opt-in alone does not authorize spawning workers or making paid provider calls.

After activation, confirm the chosen scope once and explain how to turn it off. Do not capture the current turn while awaiting a required answer.

Per-User Storage Policy

If the user turns capture off, record the requested setting and stop capture: no content pages, links, or timeline entries. A chat-only instruction suppresses capture for that message without changing the standing setting; do not save the chat-only content as a preference. Re-enable only on request. Explicit remembering and relevant recall remain available when capture is off.

Phases

Phase 1: Idea/Observation Detection (PRIMARY)

When the user expresses a novel thought, observation, thesis, or framework:

  • If it's the user's original thinking (they generated it) → create/update originals/{slug}
  • If it's a world concept they're referencing → create/update concepts/{slug}
  • If it's a product or business idea → create/update ideas/{slug}

Capture exact phrasing. The user's language IS the insight. Don't paraphrase.

Cross-linking (MANDATORY): Every original MUST link to related people, companies, meetings, and concepts. An original without cross-links is a dead original.

Show full SKILL.md (408 more words)Show less
Phase 2: Entity Detection (SECONDARY)
  1. Extract entity mentions (people, companies, media titles)
  2. For each entity:
    • gbrain search "name" — does a page exist?
    • If NO page → check notability. If notable, save the supplied information with provenance.
    • If page exists but THIN → enrich only within separately authorized capabilities and spending
    • If page exists and RICH → no action
  3. For new FACTS with specific dates → call gbrain timeline-add <slug> <date> "<summary>"

Auto-link (v0.10.1): When you write/update an originals or ideas page that references a person or company, the auto-link post-hook on put_page automatically creates the link from the new page to that entity. You don't need to call gbrain link manually. Timeline entries still need explicit calls.

Phase 3: Signal Logging

Always log a one-line summary:

  • Signals: 0 ideas, 0 entities, 0 facts (skipped: operational)
  • Signals: 0 ideas, 0 entities, 0 facts (skipped: capture off)
  • Signals: 1 idea (captured → originals/x), 2 entities (enriched → people/y, companies/z)

This makes the ambient capture loop debuggable.

Output Format

After opt-in, report observed writes and their provenance. Keep the signal log brief and verify captured content with an actual readback. Without opt-in, perform no capture writes; a skipped-capture diagnostic is not a reason to interrupt every response or ask for enablement repeatedly.

When it fails

Follow the agent operator protocol for any gbrain error code, exit code, [AGENT] block or notice block. Specific to this skill:

  • No automatic-capture opt-in on record: do nothing. An API key, silence or a first-fire announcement is not consent.
  • A capture write returns write_pending (exit 10) or revision_conflict: never block the main reply; poll the receipt or re-read and merge on the next turn.
  • Paid enrichment of a thin page needs its own authorization; on no_pricing or a cost-cap refusal, skip enrichment and leave the page thin.

Anti-Patterns

  • Blocking the main response to wait for signal detection to complete
  • Paraphrasing the user's original thinking instead of capturing exact phrasing
  • Creating pages for non-notable entities (one-off mentions)
  • Skipping back-links after creating/updating pages
  • Running on purely operational messages ("ok", "thanks", "do it")
  • Capturing without explicit opt-in, after capture was disabled, or on a chat-only turn
  • Treating a first-fire announcement, one explicit memory, or an API key as standing authorization
  • Starting paid enrichment or delegation just because capture is enabled

Tools Used

  • search — check if entity page exists
  • query — semantic search for related context
  • get_page — load existing entity pages
  • put_page — create/update brain pages
  • add_link — cross-reference entities
  • add_timeline_entry — record events on entity timelines

© garrytan, 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 skills/signal-detector of garrytan/gbrain.

Open the folder on GitHubat commit f250a51

Compare with similar skills

Signal Detector 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.

Signal Detector compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Signal Detector this skillgarrytan/gbrain31k—~2kAutomated safety check: PassMIT
Claude Code Agent Developmentanthropics/claude-plugins-official38k7 repos~2.8kAutomated safety check: PassApache-2.0
Subagent Driven DevelopmentAsvarox/allkaraoke26138 repos~1.2kAutomated safety check: PassNone
Dispatching Parallel Agentsultralisp/ultralisp25841 repos~1.5kAutomated safety check: PassNone
Reflect on Session Learningscursor/plugins11k5 repos~1.2kAutomated safety check: PassNone
Paseo Advisor Second Opiniongetpaseo/paseo20k1 repos~756Automated safety check: PassCustom licence

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Categories

Questions about Signal Detector

What does Signal Detector do?

Opt-in ambient signal capture. An agent skill from garrytan/gbrain. Signal Detector is an agent skill from garrytan/gbrain. Opt-in ambient signal capture.

When should I use Signal Detector?

Signal Detector fits situations like: tasks that involve Subagents.

How do I install Signal Detector in Claude Code?

Run `npx skills add garrytan/gbrain --skill signal-detector -a claude-code`. Or copy the skill folder (skills/signal-detector in garrytan/gbrain) into .claude/skills/signal-detector in your project. Claude Code loads it when a task matches its description.

How do I install Signal Detector in Codex?

Run `npx skills add garrytan/gbrain --skill signal-detector -a codex`. Or copy the skill folder (skills/signal-detector in garrytan/gbrain) into .agents/skills/signal-detector in your project. Codex loads it when a task matches its description.

Can I use Signal Detector 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 garrytan/gbrain --skill signal-detector -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/signal-detector, .gemini/skills/signal-detector, .github/skills/signal-detector and .opencode/skills/signal-detector in your project.

What does Signal Detector need to run?

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

Does Signal Detector 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 Signal Detector 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 Signal Detector use?

Signal Detector 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 Signal Detector use?

About 2k tokens (SKILL.md is roughly 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 Signal Detector?

Skills that share tags, products or a category with Signal Detector: Claude Code Agent Development (anthropics/claude-plugins-official, 38k stars), Subagent Driven Development (Asvarox/allkaraoke, 261 stars), Dispatching Parallel Agents (ultralisp/ultralisp, 258 stars) and Reflect on Session Learnings (cursor/plugins, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Signal Detector?

garrytan (a GitHub user) maintains it in garrytan/gbrain, which has 30,736 GitHub stars. The repository holds 47 skills in this directory. The repository was last updated on October 10, 2026.

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