stigmergy: Skill for Claude Code

.claude/skills/validate-deployment/SKILL.md

validate-deployment is a skill for Claude Code from sturlese/stigmergy. It costs 32 tokens per session (1,714 once invoked), scanned A, original, AGPL-3.0.

A release-verification procedure for Stigmergy deployments. It checks running services, configuration, logs, data stores, and read paths after a release.

In plain words
What is it for?
Use it after deployments or releases spanning multiple systems to test health checks, MCP reads, search results, pages, entities, logs, and index reconciliation.
Why use it?
It helps reveal unhealthy processes, missing configuration, leaked secrets in logs, stale code, broken searches, and mismatches between stored data and indexes.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is sturlese/stigmergy's own configuration. It tells Claude Code how to work on stigmergy 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 stigmergy configures →

Reuse

Borrowing it

Nothing to install: this file belongs to sturlese/stigmergy. 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/sturlese/stigmergy/main/.claude/skills/validate-deployment/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/sturlese/stigmergy

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 validate-deployment

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/sturlese/stigmergy/validate-deployment"><img src="https://agentmods.dev/badge/skills/sturlese/stigmergy/validate-deployment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,714 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.
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 $0.00032 $0.01714
Opus 5.5 $0.00013 $0.00686
Sonnet 5.5 $0.00006 $0.00343
Haiku 4.5 $0.00003 $0.00171

Measured 16d ago against content hash 860c4a7c7402, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

validate-deployment 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 16d 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/validate-deployment/SKILL.md · 141 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 16d ago Changed · +42 lines · -1 tokens per session 860c4a7c7402
  2. 1mo ago Changed 4a7111d0fd66
  3. 1mo ago First seen · 99 lines · 33 tokens per session scan A 8aa5514ef7ab

Subscribe to this mod's changes

validate-deployment is a skill published in the GitHub repository sturlese/stigmergy (0 stars, last pushed 2d ago), licensed AGPL-3.0. It adds 32 tokens to every session and 1,714 once invoked, about $0.0001 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 2026-08-31.

Related

Other skills, from other repositories

memobase

A Russian-language skill for searching a local knowledge base built from documents and other sources such as web pages, YouTube, audio, and Obsidian notes.

maximskorohod/memobase · 25 tokens

kb-memory

Local-first agent memory and knowledge service (RAG) installed from PyPI. Use when a task needs to store or recall long-term user preferences, project decisions, facts, documents or web pages, when different projects need separate memories, or when the user mentions "kb memory", "kb", or a local MCP memory service.…

fish827-08/rag-kb · 112 tokens

knowsift

Compile collected videos, articles, documents, and research into layered, traceable knowledge documents or fail-closed claim certificates. Use when a user needs research synthesis that separates supported knowledge, conditional findings, practitioner experience, viewpoints, anecdotes, disputes, and rejected claims; do…

nhppyqys/knowsift · 69 tokens

fortemi-roadmap-skill

Advance the Fortemi delivery roadmap by one concrete increment and document the progress. Reads .aiwg/planning/roadmap.md, picks the next actionable item respecting phase gating, does or dispatches the work, then records progress back into the roadmap. Built for fresh sessions and simple loops.

Fortemi/fortemi · 65 tokens

fortemi-monthly-report

Author a Fortémi monthly report as a docsite blog post — gather what shipped that month from git history, CHANGELOG, and release announcements, then write it up FOR USERS in plain language and publish it to the Pagenary blog collection.

Fortemi/fortemi · 56 tokens

kb-log

A skill for recording important technical decisions and debugging lessons in a team knowledge base or a local ledger file.

riemannulus/knowledge-base · 124 tokens