Agent skill

Signal Scoring

by gtmagents in gtmagents/gtm-agents

A skill your agent uses to design composite intent scoring models with decay, weighting, and governance.

Apache-2.0Auto-check passed

Install Signal Scoring

skills CLI
$ npx skills add gtmagents/gtm-agents --skill signal-scoring -a claude-code

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

GitHub CLI
$ gh skill install gtmagents/gtm-agents signal-scoring --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/gtmagents/gtm-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/intent-signal-orchestration/skills/signal-scoring .claude/skills/signal-scoring && 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-scoring
GitHub stars
414
Used in
1 other repo
Token cost
~336 tokens
SKILL.md length
150 words
Files
1
Skills in repo
121
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses to design composite intent scoring models with decay, weighting, and governance.

  • Works in 5 steps: Source Inventory – list each signal… → Weighting Model – assign base weights,… → Decay Curves – set time-based decay… → …
  • Design composite intent scoring models with decay
  • SKILL.md covers When to Use, Framework, Templates and Tips
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Signal Scoring is an agent skill from gtmagents/gtm-agents. Use to design composite intent scoring models with decay, weighting, and governance.

Its SKILL.md is about 340 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Production-ready collection of GTM agents and specialized skills for claude code. Covers sales, marketing, customer success, and revenue operations workflows. The licence is Apache-2.0.

When your agent uses it

  • Design composite intent scoring models with decay

Example prompts

  • “/signal-scoring”

Workflow steps

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

  1. Source Inventory – list each signal type, freshness cadence, coverage %, and reliability.
  2. Weighting Model – assign base weights, adjust for persona relevance, and define topic multipliers.
  3. Decay Curves – set time-based decay (hours/days/weeks) per signal category with thresholds for expiration.
  4. Thresholds & Tiers – document what scores map to activation tiers, nurture status, or executive escalation.
  5. Governance – outline ownership, review cadence, and change management triggers.

What it can do on your machine

Read from SKILL.md and the folder at commit 78e0419. 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 Scoring loads about 336 tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 150 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~25
When it runs · the whole SKILL.md, loaded when a task matches
~336

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 gtmagents/gtm-agents at commit 78e0419, republished under its Apache-2.0 licence (© gtmagents). 150 words, ~336 tokens.

Download SKILL.mdSave it as .claude/skills/signal-scoring/SKILL.md (or your agent's skills folder).
name
signal-scoring
description
Use to design composite intent scoring models with decay, weighting, and governance.

Signal Scoring Blueprint Skill

When to Use

  • Designing or revising multi-source signal scoring models.
  • Auditing why certain accounts jump tiers or stay suppressed.
  • Communicating scoring logic to RevOps, sales, and compliance stakeholders.

Framework

  1. Source Inventory – list each signal type, freshness cadence, coverage %, and reliability.
  2. Weighting Model – assign base weights, adjust for persona relevance, and define topic multipliers.
  3. Decay Curves – set time-based decay (hours/days/weeks) per signal category with thresholds for expiration.
  4. Thresholds & Tiers – document what scores map to activation tiers, nurture status, or executive escalation.
  5. Governance – outline ownership, review cadence, and change management triggers.

Templates

  • Scoring worksheet (source, weight, decay, threshold, notes).
  • Tier definition matrix with recommended plays.
  • Change log template capturing rationale, data evidence, and approvals.

Tips

  • Blend at least two independent signals before green-lighting high-effort plays.
  • Version control your scoring logic and share diffs in RevOps channels.
  • Pair with suppression-logic to avoid conflicting triggers.

© gtmagents, Apache-2.0. 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 plugins/intent-signal-orchestration/skills/signal-scoring of gtmagents/gtm-agents.

Open the folder on GitHubat commit 78e0419

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gtmagents/gtm-agents, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Signal Scoring 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 Scoring compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Signal Scoring this skillgtmagents/gtm-agents4141 repos~336Automated safety check: PassApache-2.0
SignalsPostHog/posthog40k—~4.3kAutomated safety check: PassCustom licence
Trader Signalruvnet/ruflo74k—~605Automated safety check: NotesMIT
Claw Scoreopenclaw/openclaw392k—~2.5kAutomated safety check: PassMIT
Docs Governanceaffaan-m/ECC277k—~1.1kAutomated safety check: PassMIT
Intent Requirements IntakeYeachan-Heo/oh-my-claudecode40k—~1.5kAutomated safety check: PassMIT

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Questions about Signal Scoring

What does Signal Scoring do?

A skill your agent uses to design composite intent scoring models with decay, weighting, and governance. Signal Scoring is an agent skill from gtmagents/gtm-agents. Use to design composite intent scoring models with decay, weighting, and governance.

When should I use Signal Scoring?

Signal Scoring fits situations like: design composite intent scoring models with decay.

How do I install Signal Scoring in Claude Code?

Run `npx skills add gtmagents/gtm-agents --skill signal-scoring -a claude-code`. Or copy the skill folder (plugins/intent-signal-orchestration/skills/signal-scoring in gtmagents/gtm-agents) into .claude/skills/signal-scoring in your project. Claude Code loads it when a task matches its description.

How do I install Signal Scoring in Codex?

Run `npx skills add gtmagents/gtm-agents --skill signal-scoring -a codex`. Or copy the skill folder (plugins/intent-signal-orchestration/skills/signal-scoring in gtmagents/gtm-agents) into .agents/skills/signal-scoring in your project. Codex loads it when a task matches its description.

Can I use Signal Scoring 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 gtmagents/gtm-agents --skill signal-scoring -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-scoring, .gemini/skills/signal-scoring, .github/skills/signal-scoring and .opencode/skills/signal-scoring in your project.

What does Signal Scoring need to run?

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

Does Signal Scoring 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 Scoring 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 Scoring use?

Signal Scoring is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Signal Scoring use?

About 336 tokens (SKILL.md is roughly 1.3k 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 Scoring?

Skills that share tags, products or a category with Signal Scoring: Signals (PostHog/posthog, 40k stars), Trader Signal (ruvnet/ruflo, 74k stars), Claw Score (openclaw/openclaw, 392k stars) and Docs Governance (affaan-m/ECC, 277k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Signal Scoring?

gtmagents (a GitHub user) maintains it in gtmagents/gtm-agents, which has 414 GitHub stars. The repository holds 121 skills in this directory. The repository was last updated on April 3, 2026.

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