TimesFM Forecasting
google-research/timesfm
Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training.
Predict resource exhaustion (disk, memory, swap) using trend analysis.
Install Predictive Resources
$ npx skills add bolivian-peru/os-moda --skill predictive-resources -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install bolivian-peru/os-moda predictive-resources --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/bolivian-peru/os-moda.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/predictive-resources .claude/skills/predictive-resources && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "predictive-resources" agent skill from https://github.com/bolivian-peru/os-moda/tree/main/skills/predictive-resources into .claude/skills/predictive-resources/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "predictive-resources", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/bolivian-peru/os-moda/tree/main/skills/predictive-resourcesType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add bolivian-peru/os-moda --skill predictive-resources -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install bolivian-peru/os-moda predictive-resources --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bolivian-peru/os-moda.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/predictive-resources .agents/skills/predictive-resources && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "predictive-resources" agent skill from https://github.com/bolivian-peru/os-moda/tree/main/skills/predictive-resources into .agents/skills/predictive-resources/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "predictive-resources", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add bolivian-peru/os-moda --skill predictive-resources -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install bolivian-peru/os-moda predictive-resources --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bolivian-peru/os-moda.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/predictive-resources .cursor/skills/predictive-resources && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "predictive-resources" agent skill from https://github.com/bolivian-peru/os-moda/tree/main/skills/predictive-resources into .cursor/skills/predictive-resources/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "predictive-resources", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/bolivian-peru/os-moda.git --path skills/predictive-resources--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add bolivian-peru/os-moda --skill predictive-resources -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install bolivian-peru/os-moda predictive-resources --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bolivian-peru/os-moda.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/predictive-resources .gemini/skills/predictive-resources && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "predictive-resources" agent skill from https://github.com/bolivian-peru/os-moda/tree/main/skills/predictive-resources into .gemini/skills/predictive-resources/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "predictive-resources", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install bolivian-peru/os-moda predictive-resourcesInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add bolivian-peru/os-moda --skill predictive-resources -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/bolivian-peru/os-moda.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/predictive-resources .github/skills/predictive-resources && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "predictive-resources" agent skill from https://github.com/bolivian-peru/os-moda/tree/main/skills/predictive-resources into .github/skills/predictive-resources/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "predictive-resources", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add bolivian-peru/os-moda --skill predictive-resources -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install bolivian-peru/os-moda predictive-resources --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bolivian-peru/os-moda.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/predictive-resources .opencode/skills/predictive-resources && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "predictive-resources" agent skill from https://github.com/bolivian-peru/os-moda/tree/main/skills/predictive-resources into .opencode/skills/predictive-resources/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "predictive-resources", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
predictive-resources- GitHub stars
- 119
- Token cost
- ~741 tokens
- SKILL.md length
- 208 words
- Files
- 1
- Skills in repo
- 17
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Predict resource exhaustion (disk, memory, swap) using trend analysis.
- Tasks that involve Forecasting and time series
- SKILL.md covers teachd Trend Data, Disk Growth Analysis, Thresholds & Alerts and Remediation (NixOS-native), plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Predictive Resources is an agent skill from bolivian-peru/os-moda. Predict resource exhaustion (disk, memory, swap) using trend analysis. Proactively alert and propose NixOS config fixes before things break.
Its SKILL.md is about 740 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Data & Analytics, covering Forecasting and time series. The repository describes itself as: An operating system built for AI agents — talk to your NixOS server instead of SSH-ing in. Typed, audited tool access with atomic rollback on every change. Research-grade; run it… The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Forecasting and time series
Example prompts
- “/predictive-resources”
What it can do on your machine
Read from SKILL.md and the folder at commit b8e418f. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are nix).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Predictive Resources loads about 741 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 208 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from bolivian-peru/os-moda at commit b8e418f, republished under its Apache-2.0 licence (© bolivian-peru). 208 words, ~741 tokens.
Download SKILL.mdSave it as
.claude/skills/predictive-resources/SKILL.md (or your agent's skills folder).- name
- predictive-resources
- description
- Predict resource exhaustion (disk, memory, swap) using trend analysis. Proactively alert and propose NixOS config fixes before things break.
- tools
- system_health, shell_exec, memory_store, memory_recall, file_read, file_write, teach_patterns, teach_observations
- activation
- auto
Predictive Resource Exhaustion
Don't wait for things to break. Predict when they will and fix proactively.
teachd Trend Data
Before collecting your own data points, check teachd — it has been observing CPU, memory, and services every 30 seconds since boot:
teach_patterns({ type: "trend", min_confidence: 0.3 })
teach_observations({ source: "memory", limit: 100 })teachd automatically detects monotonic memory increases over 6+ data points. If it has already flagged a trend, use that instead of re-deriving manually.
Disk Growth Analysis
Collect data points over time and project forward:
shell_exec({ command: "df -h --output=target,used,avail,pcent / /var /nix/store /tmp 2>/dev/null || df -h" })Track in memory — store periodic snapshots:
memory_store({
summary: "Disk snapshot: / 38% used, /nix/store 12GB",
detail: "Full df output...",
category: "system.config",
tags: "disk,snapshot,predictive"
})When you have 2+ data points, calculate growth rate:
- Growth per day = (current_used - previous_used) / days_between
- Days until 95% = (capacity * 0.95 - current_used) / growth_per_day
Thresholds & Alerts
| Metric | Warning | Critical | Action |
|---|---|---|---|
| Disk fills in < 7 days | Alert user | Auto-clean | nix-collect-garbage, logrotate |
| Memory avg > 80% for 1hr | Alert user | OOM risk | Identify top consumers |
| Swap usage growing | Monitor | > 50% used | Recommend more RAM or optimize |
| /nix/store > 30GB | Suggest cleanup | > 50GB | Auto-GC old generations |
Remediation (NixOS-native)
Disk: Nix garbage collection
shell_exec({ command: "nix-collect-garbage --delete-older-than 14d" })Disk: Log rotation via NixOS config
Propose adding to configuration.nix:
services.journald.extraConfig = "SystemMaxUse=500M";Memory: Identify and advise
shell_exec({ command: "ps aux --sort=-%mem | head -15" })Don't kill processes without permission. Advise the user.
Swap: NixOS swap config
swapDevices = [{ device = "/swapfile"; size = 4096; }];User Preference Learning
After each alert, remember what the user chose:
memory_store({
summary: "User prefers automatic log cleanup when disk > 80%",
detail: "Approved automatic journalctl vacuum and nix-collect-garbage",
category: "user_pattern",
tags: "preference,disk,auto-remediation"
})Next time, check memory before asking:
memory_recall({ query: "user preference disk cleanup auto" })If they previously approved auto-remediation, do it and just notify.
© bolivian-peru, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/predictive-resources of bolivian-peru/os-moda.
Open the folder on GitHubat commit b8e418f
Compare with similar skills
Predictive Resources next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Predictive Resources this skillbolivian-peru/os-moda | 119 | — | ~741 | Automated safety check: Pass | Apache-2.0 | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | |
| StatsmodelszLanqing/codex-claude-academic-skills | 4.7k | 15 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | |
| Timesfm ForecastingzLanqing/codex-claude-academic-skills | 4.7k | 3 repos | ~7.5k | Automated safety check: Notes | Apache-2.0 | |
| Find Hypertable Candidatestimescale/pg-aiguide | 1.9k | 1 repos | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Pensieve Searcharkohut/pensieve | 1.4k | — | ~8.2k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Predictive Resources
What does Predictive Resources do?
Predict resource exhaustion (disk, memory, swap) using trend analysis. Predictive Resources is an agent skill from bolivian-peru/os-moda. Predict resource exhaustion (disk, memory, swap) using trend analysis.
When should I use Predictive Resources?
Predictive Resources fits situations like: tasks that involve Forecasting and time series.
How do I install Predictive Resources in Claude Code?
Run `npx skills add bolivian-peru/os-moda --skill predictive-resources -a claude-code`. Or copy the skill folder (skills/predictive-resources in bolivian-peru/os-moda) into .claude/skills/predictive-resources in your project. Claude Code loads it when a task matches its description.
How do I install Predictive Resources in Codex?
Run `npx skills add bolivian-peru/os-moda --skill predictive-resources -a codex`. Or copy the skill folder (skills/predictive-resources in bolivian-peru/os-moda) into .agents/skills/predictive-resources in your project. Codex loads it when a task matches its description.
Can I use Predictive Resources in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add bolivian-peru/os-moda --skill predictive-resources -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/predictive-resources, .gemini/skills/predictive-resources, .github/skills/predictive-resources and .opencode/skills/predictive-resources in your project.
What does Predictive Resources need to run?
SKILL.md names no scripts, command-line tools or credentials: Predictive Resources is instructions for the agent only.
Does Predictive Resources access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Predictive Resources safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Predictive Resources use?
Predictive Resources is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Predictive Resources use?
About 741 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Predictive Resources?
Skills that share tags, products or a category with Predictive Resources: TimesFM Forecasting (google-research/timesfm, 34k stars), Statsmodels (zLanqing/codex-claude-academic-skills, 4.7k stars), Timesfm Forecasting (zLanqing/codex-claude-academic-skills, 4.7k stars) and Find Hypertable Candidates (timescale/pg-aiguide, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Predictive Resources?
bolivian-peru (a GitHub user) maintains it in bolivian-peru/os-moda, which has 119 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on June 24, 2026.
Source: bolivian-peru/os-moda on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.