stay-current
Skill3 starsChanged 55 days agoMITView on GitHub
Stops the agent from answering out of a stale training horizon. Establishes today's date, checks the real current version from the package registry or release feed, and treats what the model remembers as a floor rather than the newest thing that exists. Use whenever the answer depends on what is true right now: latest version, new release, deprecation, pricing, quota, model name, API version, security advisory, or browser support. Also use when the user says "latest version", "knowledge cutoff", "is it still maintained", "has it been deprecated", "does that still exist", "what changed since", "versi terbaru", "yang terbaru", "masih dipakai gak", "udah deprecated belum", "masih ada gak", "update dong", "sekarang gimana", or asks whether something still works today.
In this repository8 other files it gives its agents.
- AGENTS.mdAGENTS.md
- concise-answersSkill
- grounded-researchSkill
- modular-code-guardSkill
- plain-technicalSkill
- security-assessmentSkill
- senior-designerSkill
- senior-engineerSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 90
Check these every time rather than recalling them: current and supported versions, deprecations and removals, default behaviour changed by …
- Distinctive: line 105
Check the release date that comes back.
- Distinctive: line 108
When recommending a bump, say what breaks: read the changelog or the migration guide for the majors being crossed, and name the breaking …
- Distinctive: line 115
When something cannot be checked, do not paper over it.
≈ “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
Stay Current
The model's memory has a fixed horizon and no alarm goes off when a fact crosses it. Everything past that line is remembered confidently and wrongly. The fix is mechanical, not a matter of being more careful.
The error runs in both directions, and the second one is the one people miss:
- Claiming a version, price or API is current when it was superseded a year ago.
- Claiming something does not exist, is not supported, or is impossible, when it shipped after the horizon. Absence from memory is not evidence of absence in the world.
Establish now, first
Many agent hosts already stamp the current local time into each user message's
metadata, or into the system prompt. Look there first and read it. Only fall
back to running date in the terminal when it is genuinely absent, and never
infer today's date from a file timestamp, a copyright line, or the feel of the
conversation. Once the real date is known, the gap to the training horizon is
the size of the blind spot, and it can be stated out loud.
The metadata is easy to overlook: on one host, checked across all 126 user
turns of a transcript, every single message carried the local time, and the
agent still spent a command on date.
Memory is a floor, never a ceiling
"The newest version I know of is X" only licenses the claim "X or later". It never licenses "X is the latest". Before naming any current version, look it up. These were all run and confirmed working on 2026-09-16:
| Ecosystem | Command |
| npm | npm view <pkg> version |
| npm, all channels | npm view <pkg> dist-tags --json |
| npm, last publish date | npm view <pkg> time.modified |
| Go module | curl -s https://proxy.golang.org/<module>/@latest |
| Go toolchain | curl -s "https://go.dev/dl/?mode=json", first entry |
| PyPI | python3 -m pip index versions <pkg> | head -1 |
| GitHub release | gh api repos/<owner>/<repo>/releases/latest --jq '.tag_name + " " + .published_at' |
Two cautions found while testing these. gh api repos/<owner>/<repo>/tags
returns tags in no documented order, and that order is not by date. Measured on
2026-09-16, the first entry was the newest tag for cli/cli, python/cpython
and nodejs/node, and a weekly.2012-03-27 tag for golang/go. So the first
entry answers nothing: use releases/latest. And a package with long-term
support channels, such as @angular/core, lists many dist-tags; the one that
answers "latest" is dist-tags.latest.
For a library's behaviour at a given version rather than the version number
itself, use the Context7 MCP server and pin the query to that version. See
grounded-research for the source ladder and how to pick the right Context7
entry.
Hand over as soon as the question stops being a number. A version check almost always drifts into behaviour: what changed, what breaks on upgrade, what the new API looks like, which middleware moved. The registry cannot answer any of that. The moment the answer needs an import path, a function signature, a config key or a migration step, that part goes through Context7 or the project's own documentation, not through memory, even when the version number itself was just verified. Getting the number right does not make the paragraph after it verified.
What goes stale fastest
Check these every time rather than recalling them: current and supported versions, deprecations and removals, default behaviour changed by a major release, pricing and free-tier quotas, rate limits, AI model names and API versions, security advisories and patched versions, CLI flags, browser and runtime support.
Stable enough to recall: language syntax that has not moved in years, algorithms, protocol fundamentals, and anything already read in this session.
Newest is not automatically right
Currency is for accuracy, not for chasing releases.
- Match the repository's installed version first. An answer about the version actually in use beats an answer about the newest one published.
- Check the release date that comes back. Something published days ago has no production track record, and recommending an upgrade to it is a separate decision from reporting that it exists.
- When recommending a bump, say what breaks: read the changelog or the migration guide for the majors being crossed, and name the breaking changes rather than promising a clean upgrade.
- A version still inside its support window is not a problem that needs fixing.
Say the horizon out loud
When something cannot be checked, do not paper over it. Say which part is from training data, that it may be stale, and what command or page would settle it. One honest sentence beats a confident wrong one, and it lets the user run the check in five seconds.
Before reporting done
- Was
daterun before anything time-sensitive was claimed? - Did every "latest", "current", "deprecated" or "no longer supported" come from a registry, a release feed or a dated primary source?
- Was a "that does not exist" claim actually verified, or just absent from memory?
- Does the recommended version match what the repository installs, with the gap explained if it does not?
- Is anything unverifiable labelled as coming from training data?
- Did the answer drift from version numbers into API behaviour or migration steps, and if so was that part checked against Context7 or the primary documentation rather than recalled?
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.

