egregore: Skill for Claude Code

.claude/skills/checkup/SKILL.md

checkup is a skill for Claude Code from egregore-labs/egregore. It costs 47 tokens per session (1,463 once invoked), scanned A, original, MIT.

A diagnostic workflow for checking an Egregore environment, including its services and dependencies, and producing a health report. It can automatically fix some problems it finds.

In plain words
What is it for?
Use it for a health check, status check, or diagnosis of local or connected Egregore setups, with checks adjusted to the available mode.
Why use it?
It helps locate the cause of a broken or unhealthy setup when the failing component is not obvious.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is egregore-labs/egregore's own configuration. It tells Claude Code how to work on egregore itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything egregore configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is bash bin/config-get.sh mode.

Reuse

Borrowing it

Nothing to install: this file belongs to egregore-labs/egregore. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/egregore-labs/egregore/main/.claude/skills/checkup/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/egregore-labs/egregore

Made for: Claude Code.

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 checkup

README.md
[![agentmods](https://agentmods.dev/badge/skills/egregore-labs/egregore/checkup/github.svg)](https://agentmods.dev/skills/egregore-labs/egregore/checkup)
Your own site
<a href="https://agentmods.dev/skills/egregore-labs/egregore/checkup"><img src="https://agentmods.dev/badge/skills/egregore-labs/egregore/checkup/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 checkup

Your own site · 80×15
<a href="https://agentmods.dev/skills/egregore-labs/egregore/checkup"><img src="https://agentmods.dev/badge/skills/egregore-labs/egregore/checkup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,463 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 9 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 58
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 71
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 108
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 122
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 233
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 264
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • medium Data Exfiltration · line 72
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 123
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Prompt Injection · line 317
    Subtle instructions detected that may alter agent decision-making or introduce hidden biases.
    Fix: Review content for implicit steering or bias. Ensure instructions are explicit and align with the skill's stated purpose.
How audits are shown
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 $0.00047 $0.01463
Opus 5.5 $0.00019 $0.00585
Sonnet 5.5 $0.00009 $0.00293
Haiku 4.5 $0.00005 $0.00146

Measured 24d ago against content hash 9976cd7a17ed, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

checkup scanned grade A with 0 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 24d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/checkup/SKILL.md · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Egregore checkup

Diagnose the Egregore Runtime first. Treat canonical Markdown and its instance-owned Local Retriever as the product baseline. Graph, control-plane, and notification probes are explicit Connected integrations; their failure must never make canonical Local Runtime state look unavailable.

When to invoke

Run diagnostics on an Egregore environment and render a health report, repairing safe local Runtime problems when possible. Use for /checkup, a health check, or when something is broken and the root cause is unclear.

Procedure

Detect mode without attempting a network call:

bash bin/config-get.sh mode

Use the printed value as {mode}; quote it in single quotes when you use it in a command, and write any single quote inside the value as '\''. If it prints local, skip Connected integrations; if it prints connected, include them after the local checks.

Run three sequential batches. Parallelize only within a batch.

  1. Runtime and local configuration.
  2. Connected integrations, only when {mode} is connected.
  3. Workspace and Git checks.

Never run Connected network probes beside local checks; a timeout must not cancel or obscure the Runtime result.

Batch 1: canonical Runtime

Read the one typed Runtime health surface as JSON:

EGREGORE_ROOT="$PWD" PYTHONSAFEPATH=1 PYTHONPATH="$PWD${PYTHONPATH:+:$PYTHONPATH}" \
  python3 -m egregore_runtime.harness_cli status --json

Do not invoke qmd, inspect QMD process tables, guess ports, or read another instance's runtime directory. The adapter owns those mechanics. Interpret the returned fields as follows:

  • canonical_state_ready — foundational. Fail only when canonical memory is unavailable.
  • adapter=qmd-local, collection, and index_path — the resolved instance-owned Local Retriever. Display these without exposing another instance or deriving ownership yourself.
  • runtime_state, runtime_pid, and runtime_endpoint — owned worker readiness. semantic_ready is healthy; semantic_index_building is a warning with lexical fallback; runtime_unavailable is repairable.
  • bm25_ready — local keyword readiness. Warn when false.
  • semantic_ready and embedding_state — semantic readiness. A warming or missing model is degraded, not canonical data loss.
  • index_spec_version, index_revision, and source_revision — freshness. Report drift; never repair it by editing index files.
  • warnings — show concise, redacted messages.

Read the full file on GitHub · 157 lines

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. 24d ago Changed · -161 lines · +1 tokens per session scan B → A 9976cd7a17ed
  2. 1mo ago First seen · 318 lines · 46 tokens per session scan B 7177d6624f51

Subscribe to this mod's changes

checkup is a skill published in the GitHub repository egregore-labs/egregore (293 stars, last pushed 9d ago), licensed MIT. It adds 47 tokens to every session and 1,463 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.