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Official agent skill

Analyzing Experiment Precompute Canary

by PostHog in PostHog/posthog

Analyze the experiment precompute result-consistency canary across prod-US and prod-EU, deep-dive any issues, and produce an actionable report.

OfficialCustom licenceAuto-check passedDevOps & Cloud

Install Analyzing Experiment Precompute Canary

skills CLI
$ npx skills add PostHog/posthog --skill analyzing-experiment-precompute-canary -a claude-code

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

GitHub CLI
$ gh skill install PostHog/posthog analyzing-experiment-precompute-canary --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/.agents/skills/analyzing-experiment-precompute-canary .claude/skills/analyzing-experiment-precompute-canary && 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
analyzing-experiment-precompute-canary
GitHub stars
40k
Token cost
~3.5k tokens
SKILL.md length
1,402 words
Files
1
Skills in repo
252
Repo updated
First seen
Licence
Custom licence

At a glance

Analyze the experiment precompute result-consistency canary across prod-US and prod-EU, deep-dive any issues, and produce an actionable report.

  • Works in 4 steps: Health sweep — both regions → Deep dive — only for a region with issues → Classify each issue (root cause) → …
  • The user asks to check / analyze / verify the experiment precompute canary
  • SKILL.md covers Job to be done, Background: what the canary is…, Prerequisites — check first and The three Prometheus metrics, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Analyzing Experiment Precompute Canary is an agent skill from PostHog/posthog, published by the product's own GitHub organization. Analyze the experiment precompute result-consistency canary across prod-US and prod-EU, deep-dive any issues, and produce an actionable report. Sweeps the canary's Prometheus health gauges in both regions, and when anything is unhealthy pulls the structured divergence/failure logs from Loki to reconstruct exactly which (team, experiment, metric) went wrong, by how much, and which class of divergence it is (stability vs correctness, and for correctness whether exposure counts or only values differ)…

Its SKILL.md is about 3.5k 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 DevOps & Cloud, covering Deployment, Monitoring and alerting and Data warehousing. It works with Prometheus, ClickHouse, Model Context Protocol and Grafana. 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

  • The user asks to check / analyze / verify the experiment precompute canary
  • Investigate a canary divergence
  • Confirm precomputed experiment results are consistent in production

Example prompts

  • “/analyzing-experiment-precompute-canary”

Workflow steps

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

  1. Health sweep — both regions
  2. Deep dive — only for a region with issues
  3. Classify each issue (root cause)
  4. Write the report

What it can do on your machine

Read from SKILL.md and the folder at commit 812e5c6. 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

Analyzing Experiment Precompute Canary loads about 3.5k tokens when it runs. Until then it costs about 239 tokens; SKILL.md has 1,402 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~239
When it runs · the whole SKILL.md, loaded when a task matches
~3.5k

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 1,402 words (~3,500 tokens).

“Tell the user, with evidence, whether experiment precomputed results are consistent in production — in both prod-US and prod-EU — and when they aren't, hand them an actionable report: which metric diverged, by how much, which divergence class it is…”

— opening of SKILL.md by PostHog, Custom licence
name
analyzing-experiment-precompute-canary

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/analyzing-experiment-precompute-canary of PostHog/posthog.

Open the folder on GitHubat commit 812e5c6

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 7, 2026.

Compare with similar skills

Analyzing Experiment Precompute Canary 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.

Analyzing Experiment Precompute Canary compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Analyzing Experiment Precompute Canary this skillPostHog/posthog40k—~3.5kAutomated safety check: PassCustom licence
Clickhouse Observabilityjeremylongshore/tons-of-skills-marketplace2.8k—~1.4kAutomated safety check: PassMIT
Syncmetapawurb/hotpath-rs1.9k—~1.2kAutomated safety check: NotesMIT
Dashboard Previewm4r1k/Eneru149—~1.4kAutomated safety check: PassMIT
Archestra Dev Observabilityarchestra-ai/archestra4.4k—~1.2kAutomated safety check: PassCustom licence
Frontmcp Observabilityagentfront/frontmcp146—~4.6kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Analyzing Experiment Precompute Canary

What does Analyzing Experiment Precompute Canary do?

Analyze the experiment precompute result-consistency canary across prod-US and prod-EU, deep-dive any issues, and produce an actionable report. Analyzing Experiment Precompute Canary is an agent skill from PostHog/posthog, published by the product's own GitHub organization. Analyze the experiment precompute result-consistency canary across prod-US and prod-EU, deep-dive any issues, and produce an actionable report.

When should I use Analyzing Experiment Precompute Canary?

Analyzing Experiment Precompute Canary fits situations like: the user asks to check / analyze / verify the experiment precompute canary; investigate a canary divergence; confirm precomputed experiment results are consistent in production.

How do I install Analyzing Experiment Precompute Canary in Claude Code?

Run `npx skills add PostHog/posthog --skill analyzing-experiment-precompute-canary -a claude-code`. Or copy the skill folder (.agents/skills/analyzing-experiment-precompute-canary in PostHog/posthog) into .claude/skills/analyzing-experiment-precompute-canary in your project. Claude Code loads it when a task matches its description.

How do I install Analyzing Experiment Precompute Canary in Codex?

Run `npx skills add PostHog/posthog --skill analyzing-experiment-precompute-canary -a codex`. Or copy the skill folder (.agents/skills/analyzing-experiment-precompute-canary in PostHog/posthog) into .agents/skills/analyzing-experiment-precompute-canary in your project. Codex loads it when a task matches its description.

Can I use Analyzing Experiment Precompute Canary 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 analyzing-experiment-precompute-canary -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyzing-experiment-precompute-canary, .gemini/skills/analyzing-experiment-precompute-canary, .github/skills/analyzing-experiment-precompute-canary and .opencode/skills/analyzing-experiment-precompute-canary in your project.

What does Analyzing Experiment Precompute Canary need to run?

SKILL.md names no scripts, command-line tools or credentials: Analyzing Experiment Precompute Canary is instructions for the agent only.

Does Analyzing Experiment Precompute Canary 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 Analyzing Experiment Precompute Canary 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 Analyzing Experiment Precompute Canary use?

Analyzing Experiment Precompute Canary 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 Analyzing Experiment Precompute Canary use?

About 3.5k tokens (SKILL.md is roughly 14k 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 Analyzing Experiment Precompute Canary?

Skills that share tags, products or a category with Analyzing Experiment Precompute Canary: Clickhouse Observability (jeremylongshore/tons-of-skills-marketplace, 2.8k stars), Syncmeta (pawurb/hotpath-rs, 1.9k stars), Dashboard Preview (m4r1k/Eneru, 149 stars) and Archestra Dev Observability (archestra-ai/archestra, 4.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Analyzing Experiment Precompute Canary?

PostHog (a GitHub organization, an official publisher) maintains it in PostHog/posthog, which has 40,200 GitHub stars. The repository holds 252 skills in this directory. The repository was last updated on October 9, 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.