diff-environments
Skill0 starsChanged 16 days agoMITView on GitHub
Diff declared environments against what you can observe. Use when the user asks for environment drift, env diff, config drift, or /diff-environments. Do not invent production values. Do not change any environment.
In this repository66 other files it gives its agents.
- AGENTS.mdAGENTS.md
- a11y-passSkill
- assess-changeSkill
- build-regression-packSkill
- charter-exploratorySkill
- classify-dataSkill
- commitSkill
- cut-releaseSkill
- data-changeSkill
- debugSkill
- design-experimentSkill
- draft-steercoSkill
- engineering-barSkill
- explain-codeSkill
- explore-codebaseSkill
- fix-ciSkill
- handoffSkill
- implement-changeSkill
- incident-triageSkill
- lean-reviewSkill
- map-dependenciesSkill
- map-design-handoffSkill
- map-processSkill
- open-prSkill
- performanceSkill
- plan-data-migrationSkill
- plan-incrementSkill
- plan-rollbackSkill
- plan-uatSkill
- prioritize-backlogSkill
- production-passSkill
- ready-to-mergeSkill
- record-decisionSkill
- refactor-safelySkill
- revert-changeSkill
- review-architectureSkill
- review-changeSkill
- review-pipelineSkill
- security-passSkill
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- ship-notesSkill
- spec-analyticsSkill
- spec-observabilitySkill
- start-projectSkill
- synthesize-discoverySkill
- triage-blockersSkill
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- update-raidSkill
- verify-uiSkill
- write-api-examplesSkill
- write-architectureSkill
- write-designSkill
- write-dev-tasksSkill
- write-docsSkill
- write-integration-contractSkill
- write-nfrSkill
- write-opportunitySkill
- write-prdSkill
- write-requirementsSkill
- write-runbookSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 2 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 19
Do not invent prod values.
- Very specific: line 40
Read AGENTS.md if present.
- Very specific: line 41
Read observable config only (repo files, user-provided output).
- Distinctive: line 44
No secret values in the table — names of vars only.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Diff environments
Compare declared vs observed. This is not a deploy and not plan-rollback.
Do not invent prod values. Do not change an environment.
Is this the right skill?
| Signal | Do this instead |
| How promotion works | fill context/environments.md |
| Spoken rollback | plan-rollback |
| Pipeline jobs | review-pipeline |
Required inputs
context/environments.md(if missing, stop and say to fill it)- Whatever config or status you can actually read (files, user paste). Do not guess live prod.
Human decisions (do not invent)
- Whether a drift is allowed
Procedure
- Read
AGENTS.mdif present. Readcontext/environments.md. - Read observable config only (repo files, user-provided output). Mark anything you did not see as
not observed. - Find the home:
docs/ops/env-diff-YYYY-MM-DD.md. - Open references/env-diff-template.md. Copy every heading. Write
n/awhen unused. - No secret values in the table — names of vars only.
Output
- Path:
docs/ops/env-diff-YYYY-MM-DD.md - Template:
references/env-diff-template.md
Quality bar
environments.mdwas read or the skill stopped- Unseen values are
not observed, not invented - No secret values
- Unused headings are
n/a
Done
- Path
- Drift count + not-observed count
- Next skill: human; then
implement-changeif they want config alignment
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

