good-night

good-night is a skill for Claude Code from himanshusaleria/gtm-engine. It costs 0 tokens per session (3,738 once invoked), scanned B, original, MIT.

An end-of-day work review that summarizes completed work, drafts a message for your team, and previews tomorrow. It can also fetch call recordings when connected services are available.

In plain words
What is it for?
Use it to run a full evening review, a quicker review without call recordings, or a call-recordings-only sync. It requires Linear and a project configuration, with Google Workspace optional for calendar data.
Why use it?
It removes the need to reconstruct your day and prepare tomorrow’s starting point manually. It puts your work summary and next steps in one routine.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

Part of the gtm-engine plugin — 8 skills shipped together

Good fit Use it to run a full evening review, a quicker review without call recordings, or a call-recordings-only sync. It requires Linear and a project configuration, with Google Workspace optional for calendar data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/himanshusaleria/gtm-engine/good-night
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add himanshusaleria/gtm-engine --skill good-night
Clone the repo
git clone --depth 1 https://github.com/himanshusaleria/gtm-engine

Made for: Claude Code.

Or install gtm-engine, the plugin that ships this one along with the rest of its 8 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for good-night

README.md
[![agentmods](https://agentmods.dev/badge/skills/himanshusaleria/gtm-engine/good-night/github.svg)](https://agentmods.dev/skills/himanshusaleria/gtm-engine/good-night)
Your own site
<a href="https://agentmods.dev/skills/himanshusaleria/gtm-engine/good-night"><img src="https://agentmods.dev/badge/skills/himanshusaleria/gtm-engine/good-night/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for good-night

Your own site · 80×15
<a href="https://agentmods.dev/skills/himanshusaleria/gtm-engine/good-night"><img src="https://agentmods.dev/badge/skills/himanshusaleria/gtm-engine/good-night.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,738 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.03738
Opus 5 $0.00000 $0.01869
Sonnet 5 $0.00000 $0.00748
Haiku 4.5 $0.00000 $0.00374

Measured 9d ago against content hash 546917ebf2da, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade B, and why

good-night scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Sends data to an external URLmediumData exfiltration

A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.

- **Fireflies:** `curl -s -X POST "https://api.fireflies.ai/graphql" -H "Authorization: Bearer ${api_key_env_value}" -H "Content-Type: application/json" -d '{"query": "{ transcripts { id title date duration organizer_ema

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- **Fathom:** `curl -s -H "X-Api-Key: ${api_key_env_value}" "https://api.fathom.ai/external/v1/meetings?limit=20"`
skills/good-night/SKILL.md · 360 lines

How it starts

The opening of the file, as written. The whole thing — 360 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Good Night Wrap-up

End-of-day review that summarizes accomplishments, drafts EOD message, previews tomorrow, and optionally syncs call recordings.

Invocation

  • /good-night — Full evening wrap-up
  • /good-night --quick — Skip call sync, just summary + EOD + tomorrow
  • /good-night --calls — Only fetch and save calls (if call recording enabled)

Prerequisites

  • Linear MCP installed and connected
  • Google Workspace MCP (optional, for calendar)
  • config/config.yaml exists (run /setup first)

Instructions

Parse the argument (if any) from $ARGUMENTS to determine mode:

  • If $ARGUMENTS contains --quick → quick mode (skip call sync)
  • If $ARGUMENTS contains --calls → calls-only mode
  • Otherwise → full mode

First: Read config/config.yaml (relative to project root) to load all configuration. Extract:

  • config.linear.action_team — action task team name
  • config.linear.pipeline_team — pipeline tracking team name
  • config.linear.default_label — label for engine-created tasks
  • config.team — team members, roles, and Linear user IDs
  • config.ritual.labels — meaningful, light, and parking lot label names
  • config.ritual.meaningful_count — number of meaningful tasks (default 3)
  • config.ritual.light_count — number of light tasks (default 2)
  • config.ritual.meaningful_definition — what counts as meaningful
  • config.ritual.light_definition — what counts as light
  • config.integrations.call_recording — call recording provider settings (provider, api_key_env, enabled)
  • config.integrations.outreach_sheet — outreach spreadsheet settings
  • config.integrations.google_workspace.enabled — whether calendar is available

Identify the default assignee = the team member with is_default_assignee: true.

Resolve Linear team IDs (required): Some Linear MCP servers (e.g., linear-mcp-server) hang indefinitely when issue searches are made without a teamId. Before any issue query:

  1. Call mcp__linear__list_teams once
  2. Match action_team and pipeline_team names to their UUIDs
  3. Store them as {action_team_id} and {pipeline_team_id} for the rest of the session
  4. If either name cannot be matched, surface a clear error and stop — do not run unscoped Linear searches

Read the full file on GitHub · 360 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 360 lines · 0 tokens per session scan B 546917ebf2da

Subscribe to this mod's changes

good-night is a skill published in the GitHub repository himanshusaleria/gtm-engine (18 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,738 tokens. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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