Official agent skill

Signals Scout AI Observability

by PostHog in PostHog/posthog

Signals scout for PostHog AI observability. An agent skill from PostHog/posthog.

OfficialCustom licenceAuto-check passedDevOps & Cloud

Install Signals Scout AI Observability

skills CLI
$ npx skills add PostHog/posthog --skill signals-scout-ai-observability -a claude-code

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

GitHub CLI
$ gh skill install PostHog/posthog signals-scout-ai-observability --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/PostHog/posthog.git skills-src && mkdir -p .claude/skills && cp -r skills-src/products/signals/skills/signals-scout-ai-observability .claude/skills/signals-scout-ai-observability && 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
signals-scout-ai-observability
GitHub stars
40k
Token cost
~5k tokens
SKILL.md length
2,499 words
Files
2 (incl. references)
Skills in repo
254
Repo updated
First seen
Licence
Custom licence

At a glance

Signals scout for PostHog AI observability. An agent skill from PostHog/posthog.

  • Tasks that involve Observability
  • SKILL.md covers Activity-history availability, Quick close-out: is AI…, How a run works and Disqualifiers (skip these), plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Signals Scout AI Observability is an agent skill from PostHog/posthog, published by the product's own GitHub organization. Signals scout for PostHog AI observability. Watches LLM traces for cost, latency, error, volume, and eval-performance regressions.

Its SKILL.md is about 5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/lenses.md`). Compatibility notes: Designed for the PostHog Signals agent in a Claude sandbox with PostHog MCP scopes: read-only analytics plus signalscoutinternal:write (for scratchpad) +…

It sits in DevOps & Cloud, covering Observability. It works with PostHog. The repository describes itself as: :hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error…

When your agent uses it

  • Tasks that involve Observability

Example prompts

  • “Use the signals-scout-ai-observability skill to signal scout for PostHog AI observability. An agent skill from PostHog/posthog”
  • “/signals-scout-ai-observability”

Requirements

  • Compatibility (from SKILL.md): Designed for the PostHog Signals agent in a Claude sandbox with PostHog MCP scopes: read-only analytics plus signal_scout_internal:write (for scratchpad) + signal_scout_report:write (for emit-report/edit-report, granted because this scout authors reports directly via the report channel). Assumes the signals-scout MCP tool family, the LLM analytics tools listed in the body's MCP tools section, and the bundled exploring-llm-* deep-dive skills.

What it can do on your machine

Read from SKILL.md and the folder at commit c012c8d. 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.

  • Compatibility

    Designed for the PostHog Signals agent in a Claude sandbox with PostHog MCP scopes: read-only analytics plus signal_scout_internal:write (for scratchpad) + signal_scout_report:write (for emit-report/edit-report, granted because this scout authors reports directly via the report channel). Assumes the signals-scout MCP tool family, the LLM analytics tools listed in the body's MCP tools section, and the bundled exploring-llm-* deep-dive skills.

    From compatibility in the SKILL.md frontmatter.

Context cost

Signals Scout AI Observability loads about 5k tokens when it runs, and up to ~7.3k if it reads all its reference files. Until then it costs about 40 tokens; SKILL.md has 2,499 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.3k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 2,499 words (~4,977 tokens).

“You are a focused AI observability scout. Spot meaningful changes in this team's LLM usage — cost, latency, errors, volume, eval performance, eval/enrichment config, clusters, tool usage — and file a report only when a change clears the confidence bar…”

— opening of SKILL.md by PostHog, Custom licence
name
signals-scout-ai-observability
compatibility
Designed for the PostHog Signals agent in a Claude sandbox with PostHog MCP scopes: read-only analytics plus signal_scout_internal:write (for scratchpad) + signal_scout_report:write (for emit-report/edit-report, granted because this scout authors reports directly via the report channel). Assumes the signals-scout MCP tool family, the LLM analytics tools listed in the body's MCP tools section, and the bundled exploring-llm-* deep-dive skills.
scout-display-name
AI observability
scout-tags
ai-observability
metadata.owner_team
signals
metadata.scope
llm_analytics

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (references) in products/signals/skills/signals-scout-ai-observability of PostHog/posthog.

  • SKILL.md
  • references/lenses.md

Open the folder on GitHubat commit c012c8d

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in PostHog/posthog, which our catalogue first saw on October 8, 2026.

Compare with similar skills

Signals Scout AI Observability 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.

Signals Scout AI Observability compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Signals Scout AI Observability this skillPostHog/posthog40k—~5kAutomated safety check: PassCustom licence
Telemetry AnalyticsOpenHands/OpenHands91k—~305Automated safety check: PassMIT
Temps Best Practicesgotempsh/temps833—~2.9kAutomated safety check: PassApache-2.0
Posthog Observabilityjeremylongshore/tons-of-skills-marketplace2.8k—~2.4kAutomated safety check: PassMIT
Posthog Operationsshepherdjerred/monorepo112—~321Automated safety check: PassGPL-3.0
Vercel Optimize Auditvercel-labs/agent-skills32k8 repos~4.3kAutomated safety check: PassNone

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Works with

Categories

Questions about Signals Scout AI Observability

What does Signals Scout AI Observability do?

Signals scout for PostHog AI observability. An agent skill from PostHog/posthog. Signals Scout AI Observability is an agent skill from PostHog/posthog, published by the product's own GitHub organization. Signals scout for PostHog AI observability.

When should I use Signals Scout AI Observability?

Signals Scout AI Observability fits situations like: tasks that involve Observability.

How do I install Signals Scout AI Observability in Claude Code?

Run `npx skills add PostHog/posthog --skill signals-scout-ai-observability -a claude-code`. Or copy the skill folder (products/signals/skills/signals-scout-ai-observability in PostHog/posthog) into .claude/skills/signals-scout-ai-observability in your project. Claude Code loads it when a task matches its description.

How do I install Signals Scout AI Observability in Codex?

Run `npx skills add PostHog/posthog --skill signals-scout-ai-observability -a codex`. Or copy the skill folder (products/signals/skills/signals-scout-ai-observability in PostHog/posthog) into .agents/skills/signals-scout-ai-observability in your project. Codex loads it when a task matches its description.

Can I use Signals Scout AI Observability 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 PostHog/posthog --skill signals-scout-ai-observability -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/signals-scout-ai-observability, .gemini/skills/signals-scout-ai-observability, .github/skills/signals-scout-ai-observability and .opencode/skills/signals-scout-ai-observability in your project.

What does Signals Scout AI Observability need to run?

SKILL.md names no scripts, command-line tools or credentials: Signals Scout AI Observability is instructions for the agent only. Compatibility (from SKILL.md): Designed for the PostHog Signals agent in a Claude sandbox with PostHog MCP scopes: read-only analytics plus signal_scout_internal:write (for scratchpad) + signal_scout_report:write (for emit-report/edit-report, granted because this scout authors reports directly via the report channel). Assumes the signals-scout MCP tool family, the LLM analytics tools listed in the body's MCP tools section, and the bundled exploring-llm-* deep-dive skills. .

Does Signals Scout AI Observability 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 Signals Scout AI Observability 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 Signals Scout AI Observability use?

Signals Scout AI Observability has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Signals Scout AI Observability use?

About 5k tokens (SKILL.md is roughly 20k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.3k tokens, read only when the agent opens those files.

What are the alternatives to Signals Scout AI Observability?

Skills that share tags, products or a category with Signals Scout AI Observability: Telemetry Analytics (OpenHands/OpenHands, 91k stars), Temps Best Practices (gotempsh/temps, 833 stars), Posthog Observability (jeremylongshore/tons-of-skills-marketplace, 2.8k stars) and Posthog Operations (shepherdjerred/monorepo, 112 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Signals Scout AI Observability?

PostHog (a GitHub organization, an official publisher) maintains it in PostHog/posthog, which has 40,209 GitHub stars. The repository holds 254 skills in this directory. The repository was last updated on October 10, 2026.

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