stationkeeping

stationkeeping is a skill for Claude Code from IamK77/Skill. It costs 34 tokens per session (1,101 once invoked), scanned A, original, Apache-2.0.

A process for running software reliably in production, where production means the live environment used by customers. It covers deployment, release planning, infrastructure configuration, monitoring, alerts, service targets, incident response, capacity, cost, backups, and disaster recovery.

In plain words
What is it for?
Use it when launching a system or keeping one healthy after launch. It helps plan releases, monitor user-facing behavior, respond to incidents, control costs, and recover from outages or data loss.
Why use it?
A merged change and a passing build do not prove that a live service will remain available. Deployment settings, capacity limits, dependencies, and other operational problems can fail only after release.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Part of the engineering plugin — 10 skills shipped together

Good fit Use it when launching a system or keeping one healthy after launch. It helps plan releases, monitor user-facing behavior, respond to incidents, control costs, and recover from outages or data loss.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/iamk77/skill/stationkeeping
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 IamK77/Skill --skill stationkeeping
Clone the repo
git clone --depth 1 https://github.com/IamK77/Skill

Made for: Claude Code.

Or install engineering, the plugin that ships this one along with the rest of its 10 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 stationkeeping

README.md
[![agentmods](https://agentmods.dev/badge/skills/iamk77/skill/stationkeeping/github.svg)](https://agentmods.dev/skills/iamk77/skill/stationkeeping)
Your own site
<a href="https://agentmods.dev/skills/iamk77/skill/stationkeeping"><img src="https://agentmods.dev/badge/skills/iamk77/skill/stationkeeping/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 stationkeeping

Your own site · 80×15
<a href="https://agentmods.dev/skills/iamk77/skill/stationkeeping"><img src="https://agentmods.dev/badge/skills/iamk77/skill/stationkeeping.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,101 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 $0.00034 $0.01101
Opus 5.5 $0.00014 $0.00440
Sonnet 5.5 $0.00007 $0.00220
Haiku 4.5 $0.00003 $0.00110

Measured 1mo ago against content hash 40ba06623a02, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

stationkeeping 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 1mo 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.

skills/engineering/stationkeeping/SKILL.md · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.

stationkeeping

Prepare and execute an explicitly authorised operational change with observability, rollback, and post-change checks. Use for release or incident procedures, not unattended production action.

Inputs

Environment and service identity; authorised operation; current health; owner/contact; rollback plan and observable success/abort thresholds.

Run record

Use checklist 0.5 or newer for this SOP. Reading or reloading the skill must not reset work. For a new task, run checklist init "${CLAUDE_SKILL_DIR}" --new --path "/absolute/project"; retain its returned ID as RUN. For existing work, use checklist resume "$RUN", then checklist show --run "$RUN". Outside Claude, replace the skill-directory variable with this directory’s actual path.

Commands below record work after it is done. Replace evidence placeholders with concise artifact locations and observations. Manual confirmations are not independent proof; a sensor pass covers only the command and inputs it observed. verify does not close a stage; advance checks that its required readings are fulfilled. Use report --run "$RUN" for the retained history.

Procedure

prepare

Confirm the exact environment, current deployment/configuration, authority, and blast radius. Check that rollback artifacts and access actually exist. Do not alter the process or network carrying this conversation.

Record these artifacts after doing the work:

  • Environment, operation, authority, and blast radius are unambiguous. checklist check prepare target --run "$RUN" --evidence "<artifact and observation>"
  • Rollback path and success/abort thresholds are recorded and feasible. checklist check prepare rollback --run "$RUN" --evidence "<artifact and observation>"

When this stage is fulfilled: checklist advance prepare --run "$RUN".

operate

Read the full file on GitHub · 94 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. 1mo ago Changed · -98 lines · -193 tokens per session 40ba06623a02
  2. 2mo ago First seen · 192 lines · 227 tokens per session scan A 972e633455dd

Subscribe to this mod's changes

stationkeeping is a skill published in the GitHub repository IamK77/Skill (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 34 tokens to every session and 1,101 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

stationkeeping compared with skills from other repositories

stationkeeping next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
stationkeepingIamK77/SkillSkill21mo agoApache-2.0A34Claude Code
agents-v2-pylingxling/awesome-skills-cnSkill3341mo agoMITA39Claude Code
oci-services-expertfrankxai/claude-skills-librarySkill47yesterdayMITA43Claude Code
oracle-solution-designfrankxai/claude-skills-librarySkill47yesterdayMITA51Claude Code
oci-drawio-icon-nativefrankxai/claude-skills-librarySkill47yesterdayMITA52Claude Code
ai-architecturefrankxai/claude-skills-librarySkill47yesterdayMITA57Claude Code
apify-actor-developmentlingxling/awesome-skills-cnSkill3341mo agoMITA71Claude Code