Timesfm Forecasting
K-Dense-AI/scientific-agent-skills
Performs zero-shot time-series forecasting with Google's TimesFM, including regular-grid CSV preparation, quantile forecasts, XReg covariates, and held-out evaluation.
Forecast Claude Code spend to the end of the week or month from the daily session trend on the Agent Monitor dashboard — moving average of daily spend × days remaining, added to spend-to-date.
MITAuto-check passed
Install Spend Forecast
$ npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill spend-forecast -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hoangsonww/Claude-Code-Agent-Monitor spend-forecast --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/hoangsonww/Claude-Code-Agent-Monitor.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ccam-cost-guard/skills/spend-forecast .claude/skills/spend-forecast && 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 "spend-forecast" agent skill from https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-cost-guard/skills/spend-forecast into .claude/skills/spend-forecast/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spend-forecast", 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/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-cost-guard/skills/spend-forecastType 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 hoangsonww/Claude-Code-Agent-Monitor --skill spend-forecast -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hoangsonww/Claude-Code-Agent-Monitor spend-forecast --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hoangsonww/Claude-Code-Agent-Monitor.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/ccam-cost-guard/skills/spend-forecast .agents/skills/spend-forecast && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "spend-forecast" agent skill from https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-cost-guard/skills/spend-forecast into .agents/skills/spend-forecast/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spend-forecast", 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 hoangsonww/Claude-Code-Agent-Monitor --skill spend-forecast -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hoangsonww/Claude-Code-Agent-Monitor spend-forecast --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hoangsonww/Claude-Code-Agent-Monitor.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/ccam-cost-guard/skills/spend-forecast .cursor/skills/spend-forecast && 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 "spend-forecast" agent skill from https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-cost-guard/skills/spend-forecast into .cursor/skills/spend-forecast/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spend-forecast", 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/hoangsonww/Claude-Code-Agent-Monitor.git --path plugins/ccam-cost-guard/skills/spend-forecast--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 hoangsonww/Claude-Code-Agent-Monitor --skill spend-forecast -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hoangsonww/Claude-Code-Agent-Monitor spend-forecast --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hoangsonww/Claude-Code-Agent-Monitor.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/ccam-cost-guard/skills/spend-forecast .gemini/skills/spend-forecast && 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 "spend-forecast" agent skill from https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-cost-guard/skills/spend-forecast into .gemini/skills/spend-forecast/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spend-forecast", 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 hoangsonww/Claude-Code-Agent-Monitor spend-forecastInstalls 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 hoangsonww/Claude-Code-Agent-Monitor --skill spend-forecast -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hoangsonww/Claude-Code-Agent-Monitor.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/ccam-cost-guard/skills/spend-forecast .github/skills/spend-forecast && 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 "spend-forecast" agent skill from https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-cost-guard/skills/spend-forecast into .github/skills/spend-forecast/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spend-forecast", 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 hoangsonww/Claude-Code-Agent-Monitor --skill spend-forecast -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hoangsonww/Claude-Code-Agent-Monitor spend-forecast --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hoangsonww/Claude-Code-Agent-Monitor.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/ccam-cost-guard/skills/spend-forecast .opencode/skills/spend-forecast && 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 "spend-forecast" agent skill from https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-cost-guard/skills/spend-forecast into .opencode/skills/spend-forecast/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spend-forecast", 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
spend-forecast- GitHub stars
- 1.1k
- Token cost
- ~905 tokens
- SKILL.md length
- 411 words
- Files
- 2
- Skills in repo
- 78
- Repo updated
- First seen
- Licence
- MIT
At a glance
Forecast Claude Code spend to the end of the week or month from the daily session trend on the Agent Monitor dashboard — moving average of daily spend × days remaining, added to spend-to-date.
- Works in 5 steps: Spend to date → Daily trend → Projection → …
- Projecting cost
- SKILL.md covers Input, Data Sources, Forecast method and Report Sections, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Spend Forecast is an agent skill from hoangsonww/Claude-Code-Agent-Monitor. Forecast Claude Code spend to the end of the week or month from the daily session trend on the Agent Monitor dashboard — moving average of daily spend × days remaining, added to spend-to-date. Uses /api/analytics dailysessions, /api/pricing/cost, and /api/sessions for a per-day cost curve. Use when projecting cost or asking "where will my spend land".
Its SKILL.md is about 910 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
The repository describes itself as: 🚀 A real-time monitoring dashboard for Claude Code & Codex, built with SQLite3, Node.js, Express, React, Vite, TailwindCSS, & WebSockets. It tracks sessions, agent activity… The licence is MIT.
When your agent uses it
- Projecting cost
- Asking where will my spend land
Example prompts
- “where will my spend land”
- “/spend-forecast”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit a06db03. 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.
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
Spend Forecast loads about 905 tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 411 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 hoangsonww/Claude-Code-Agent-Monitor at commit a06db03, republished under its MIT licence (© hoangsonww). 411 words, ~905 tokens.
Download SKILL.mdSave it as
.claude/skills/spend-forecast/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- spend-forecast
- description
- Forecast Claude Code spend to the end of the week or month from the daily session trend on the Agent Monitor dashboard — moving average of daily spend × days remaining, added to spend-to-date. Uses /api/analytics daily_sessions, /api/pricing/cost, and /api/sessions for a per-day cost curve. Use when projecting cost or asking "where will my spend land".
Spend Forecast
Project where Claude Code spend will end up by the close of the current week or month.
Input
The user provides: $ARGUMENTS
This is the forecast horizon — "week", "month", or a specific date. Default to
month (calendar month-end) when nothing is given, and state the horizon you used.
Data Sources
| Endpoint | Returns |
|---|---|
GET /api/analytics | { total_cost, tokens (effective totals, baselines pre-summed), daily_sessions (365d: [{ date, count }]), daily_events, overview, ... } — daily_sessions is the trend the forecast extrapolates |
GET /api/pricing/cost | { total_cost, breakdown: [{ model, input_tokens, output_tokens, cache_read_tokens, cache_write_tokens, cost, matched_rule }] } — authoritative spend-to-date and avg cost-per-session input |
GET /api/sessions?limit=200 | Session list with inline cost and started_at — group by day for a sharper daily-spend curve than the count-based approximation |
Forecast method
Spend has no native per-day field, so build a daily-spend series and extrapolate:
- Spend-to-date =
total_costfrom/api/pricing/cost. - Avg cost per session =
total_cost / total_session_count. - Daily spend series: for the trailing window,
daily_spend[d] ≈ daily_sessions[d].count × avg_cost_per_session. For a sharper curve, instead sum inline sessioncostgrouped byDATE(started_at). - Moving average:
avg_daily_spend = mean(daily_spend over the trailing 7 days). Also compute a 14-day average to gauge whether the trend is accelerating (▲) or cooling (▼). - Remaining days: days left until the end of the chosen horizon (week = through Sunday; month = through the last calendar day).
- Projection:
projected_total = spend_to_date_this_period + (avg_daily_spend × days_remaining).
Spend-to-date this period: when the trend covers more than the current period, restrict the spend-to-date term to sessions whose
started_atfalls inside the current week/month so the projection isn't inflated by older spend.
Show full SKILL.md (164 more words)Show less
Report Sections
1. Spend to date
total_cost, session count, avg cost/session, and how much falls inside the current period.
2. Daily trend
The 7-day and 14-day moving averages of daily spend, with a ▲/▼ accelerating-vs-cooling read. Show the last 7 days as a compact table (date, sessions, est. spend).
3. Projection
avg_daily_spend × days_remaining and the resulting projected_total for the horizon. State the days-remaining count explicitly.
4. Budget check (if a budget is known)
If the user mentions a budget, show projected vs. budget, the over/under delta, and the date the budget is projected to be crossed (days_to_budget = (budget − spend_to_date) / avg_daily_spend).
5. Confidence & caveats
Note that the forecast assumes the recent daily pace holds, that daily spend is approximated from session counts unless an inline-cost curve was used, and call out any low-data horizons (e.g. fewer than 7 active days).
Output
Markdown with the trend table and the projection. Currency as USD to 4 decimal places; show moving averages and the projected total prominently. Deltas with ▲/▼.
© hoangsonww, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in plugins/ccam-cost-guard/skills/spend-forecast of hoangsonww/Claude-Code-Agent-Monitor.
- SKILL.md
- agents/openai.yaml
Open the folder on GitHubat commit a06db03
Compare with similar skills
Spend Forecast 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 |
|---|---|---|---|---|---|---|
| Spend Forecast this skillhoangsonww/Claude-Code-Agent-Monitor | 1.1k | — | ~905 | Automated safety check: Pass | MIT | |
| Timesfm ForecastingK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~2.4k | Automated safety check: Notes | Apache-2.0 | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | |
| Forecast Accuracy Reviewdavila7/claude-code-templates | 33k | — | ~884 | Automated safety check: Pass | MIT | |
| Weekly Project Digeststhedotmack/claude-mem | 99k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | |
| Weekly Review PlanningNousResearch/hermes-agent | 252k | — | ~994 | Automated safety check: Pass | MIT |
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Weekly Project Digests
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Questions about Spend Forecast
What does Spend Forecast do?
Forecast Claude Code spend to the end of the week or month from the daily session trend on the Agent Monitor dashboard — moving average of daily spend × days remaining, added to spend-to-date. Spend Forecast is an agent skill from hoangsonww/Claude-Code-Agent-Monitor. Forecast Claude Code spend to the end of the week or month from the daily session trend on the Agent Monitor dashboard — moving average of daily spend × days remaining, added to spend-to-date.
When should I use Spend Forecast?
Spend Forecast fits situations like: projecting cost; asking where will my spend land.
How do I install Spend Forecast in Claude Code?
Run `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill spend-forecast -a claude-code`. Or copy the skill folder (plugins/ccam-cost-guard/skills/spend-forecast in hoangsonww/Claude-Code-Agent-Monitor) into .claude/skills/spend-forecast in your project. Claude Code loads it when a task matches its description.
How do I install Spend Forecast in Codex?
Run `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill spend-forecast -a codex`. Or copy the skill folder (plugins/ccam-cost-guard/skills/spend-forecast in hoangsonww/Claude-Code-Agent-Monitor) into .agents/skills/spend-forecast in your project. Codex loads it when a task matches its description.
Can I use Spend Forecast 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 hoangsonww/Claude-Code-Agent-Monitor --skill spend-forecast -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/spend-forecast, .gemini/skills/spend-forecast, .github/skills/spend-forecast and .opencode/skills/spend-forecast in your project.
What does Spend Forecast need to run?
SKILL.md names no scripts, command-line tools or credentials: Spend Forecast is instructions for the agent only.
Does Spend Forecast 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 Spend Forecast 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 Spend Forecast use?
Spend Forecast is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Spend Forecast use?
About 905 tokens (SKILL.md is roughly 3.6k 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 Spend Forecast?
Skills that share tags, products or a category with Spend Forecast: Timesfm Forecasting (K-Dense-AI/scientific-agent-skills, 48k stars), TimesFM Forecasting (google-research/timesfm, 34k stars), Forecast Accuracy Review (davila7/claude-code-templates, 33k stars) and Weekly Project Digests (thedotmack/claude-mem, 99k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Spend Forecast?
hoangsonww (a GitHub user) maintains it in hoangsonww/Claude-Code-Agent-Monitor, which has 1,058 GitHub stars. The repository holds 78 skills in this directory. The repository was last updated on October 10, 2026.
Source: hoangsonww/Claude-Code-Agent-Monitor on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.