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.
Compress-Cache-Retrieve for huge, repetitive array tool output (logs, scan results, time series, event streams) before it enters context.
Install Honey Ccr
$ npx skills add Green-PT/honey-for-devs --skill honey-ccr -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Green-PT/honey-for-devs honey-ccr --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/Green-PT/honey-for-devs.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/honey-ccr .claude/skills/honey-ccr && 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 "honey-ccr" agent skill from https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-ccr into .claude/skills/honey-ccr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honey-ccr", 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/Green-PT/honey-for-devs/tree/main/skills/honey-ccrType 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 Green-PT/honey-for-devs --skill honey-ccr -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Green-PT/honey-for-devs honey-ccr --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Green-PT/honey-for-devs.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/honey-ccr .agents/skills/honey-ccr && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "honey-ccr" agent skill from https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-ccr into .agents/skills/honey-ccr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honey-ccr", 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 Green-PT/honey-for-devs --skill honey-ccr -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Green-PT/honey-for-devs honey-ccr --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Green-PT/honey-for-devs.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/honey-ccr .cursor/skills/honey-ccr && 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 "honey-ccr" agent skill from https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-ccr into .cursor/skills/honey-ccr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honey-ccr", 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/Green-PT/honey-for-devs.git --path skills/honey-ccr--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 Green-PT/honey-for-devs --skill honey-ccr -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Green-PT/honey-for-devs honey-ccr --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Green-PT/honey-for-devs.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/honey-ccr .gemini/skills/honey-ccr && 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 "honey-ccr" agent skill from https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-ccr into .gemini/skills/honey-ccr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honey-ccr", 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 Green-PT/honey-for-devs honey-ccrInstalls 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 Green-PT/honey-for-devs --skill honey-ccr -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Green-PT/honey-for-devs.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/honey-ccr .github/skills/honey-ccr && 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 "honey-ccr" agent skill from https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-ccr into .github/skills/honey-ccr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honey-ccr", 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 Green-PT/honey-for-devs --skill honey-ccr -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Green-PT/honey-for-devs honey-ccr --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Green-PT/honey-for-devs.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/honey-ccr .opencode/skills/honey-ccr && 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 "honey-ccr" agent skill from https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-ccr into .opencode/skills/honey-ccr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honey-ccr", 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
honey-ccr- GitHub stars
- 313
- Token cost
- ~674 tokens
- SKILL.md length
- 307 words
- Files
- 1
- Skills in repo
- 14
- Repo updated
- First seen
- Licence
- MIT
At a glance
Compress-Cache-Retrieve for huge, repetitive array tool output (logs, scan results, time series, event streams) before it enters context.
- A tool returns a long uniform JSON array you must read but mostly skim
- SKILL.md covers When to use, Don't use, How and Always-on hook (entry-time GC)
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- The full set is one command away if needed
What it does
Honey Ccr is an agent skill from Green-PT/honey-for-devs. Compress-Cache-Retrieve for huge, repetitive array tool output (logs, scan results, time series, event streams) before it enters context. Keeps an informative sample — endpoints, anomalies/change-points, head/tail — drops the redundant rest to a local cache, and leaves a retrievable hash. Use when a tool returns a long uniform JSON array you must read but mostly skim, and the full set is one command away if needed. Lossy-but-recoverable.
Its SKILL.md is about 670 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: Honey (I Shrunk the AI) by GreenPT: a cross-tool coding skill that cuts AI coding-agent token usage and LLM API costs — write less code, less prose, and denser agent-to-agent… The licence is MIT.
When your agent uses it
- A tool returns a long uniform JSON array you must read but mostly skim
- The full set is one command away if needed
Example prompts
- “/honey-ccr”
What it can do on your machine
Read from SKILL.md and the folder at commit 9169fc5. 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 bash).
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
Honey Ccr loads about 674 tokens when it runs. Until then it costs about 113 tokens; SKILL.md has 307 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 Green-PT/honey-for-devs at commit 9169fc5, republished under its MIT licence (© Green-PT). 307 words, ~674 tokens.
Download SKILL.mdSave it as
.claude/skills/honey-ccr/SKILL.md (or your agent's skills folder).- name
- honey-ccr
- description
- Compress-Cache-Retrieve for huge, repetitive array tool output (logs, scan results, time series, event streams) before it enters context. Keeps an informative sample — endpoints, anomalies/change-points, head/tail — drops the redundant rest to a local cache, and leaves a retrievable hash. Use when a tool returns a long uniform JSON array you must read but mostly skim, and the full set is one command away if needed. Lossy-but-recoverable.
- license
- MIT
Honey CCR
The cheapest token is the one not sent. A 500-row log read for one error line costs 500 rows of context. CCR keeps the rows that carry signal and caches the rest — recoverable by hash, so nothing is lost.
Borrowed from headroom's SmartCrusher. Lossy by design — only for data you
skim, never for payloads where every row matters (e.g. a code-review handoff
where the implementer needs all findings; use eson encode losslessly there).
When to use
- A tool returns a uniform JSON array of many records (≥ ~5 items, redundant).
- You need to read it but mostly skim — logs, search hits, metrics, events.
- The full data stays reachable, so dropping the boring middle is safe.
Don't use
- Small arrays (passes through untouched anyway) or non-array data.
- Any array where every element is load-bearing — encode it, don't crush it.
How
tool-that-spews-json | eson crush # → sampled view + sentinel; originals cached
eson retrieve <hash> # → the full original array, verbatimcrush prints the kept sample plus a sentinel
{"_ccr":"<<ccr:HASH N_rows_offloaded>>"}. When you need a dropped row, read the
hash from the sentinel and run eson retrieve <hash>.
- Cache dir:
.honey-ccr/(override withHONEY_CCR_DIR). - Below the size gate,
crushreturns the array unchanged with no sentinel — safe to pipe anything.
Always-on hook (entry-time GC)
While Honey is active, a registered PostToolUse hook applies this automatically to
Bash output — no opt-in per call. Big uniform JSON arrays (≥20 items, ≥2k chars) are
crushed; repetitive text (≥25 lines) gets consecutive repeats collapsed to ⟨×N⟩.
The original is always stashed first, and the rewritten result ends with the exact
eson retrieve <hash> command that restores it. /honey off disables the hook;
history already in context is immutable — this fires at entry, the only place a
hook can act.
Caveat: Claude Code builds affected by anthropics/claude-code#68951 ignore the
hook's Bash rewrite, making it inert (a session-start warning tells you when this
applies). Manual some-tool | eson crush piping is unaffected — prefer it there.
© Green-PT, MIT. 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/honey-ccr of Green-PT/honey-for-devs.
Open the folder on GitHubat commit 9169fc5
Compare with similar skills
Honey Ccr 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 |
|---|---|---|---|---|---|---|
| Honey Ccr this skillGreen-PT/honey-for-devs | 313 | — | ~674 | Automated safety check: Pass | MIT | |
| 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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zLanqing/codex-claude-academic-skills
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Timesfm Forecasting
zLanqing/codex-claude-academic-skills
Zero-shot time series forecasting with Google's TimesFM foundation model.
Find Hypertable Candidates
timescale/pg-aiguide
A skill your agent uses to analyze an existing PostgreSQL database and identify which tables should be converted to Timescale/TimescaleDB hypertables.
Pensieve Search
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Search the user's local Pensieve screenshot archive by text, app, or time range.
Alphaear Predictor
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More from Green-PT/honey-for-devs
All 14 skills in this repoHoney
Green-PT/honey-for-devs
Write less code and say less about it. An agent skill from Green-PT/honey-for-devs.
Honey Eco
Green-PT/honey-for-devs
Report this session's output tokens and CO₂ by running the repo's committed EcoLogits port, plus the modelled CO₂/$ saved vs a no-Honey baseline — always labelled with the bench stamp it came from.
Honey Gain
Green-PT/honey-for-devs
Show Honey's benchmark scoreboard — the committed quality and token results per task tier (code, user-facing, agent-to-agent) from bench/.
Honey Px
Green-PT/honey-for-devs
Read huge, dense, read-only text as rendered PNG pages instead of raw text — image tokens scale with pixels, not characters, so token-dense bulk (big files, vendored code, diffs, logs) costs ~60–75%…
Honey Superpowers
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Stack Honey onto Superpowers-style workflows (subagent-driven-development, dispatching-parallel-agents, executing-plans) and any orchestration that dispatches fresh subagents.
Honey Debt
Green-PT/honey-for-devs
Harvest every honey: comment in the codebase into a debt ledger, so the deliberate shortcuts Lever 1 leaves behind get tracked instead of rotting into "later means never".
Related
Categories
Questions about Honey Ccr
What does Honey Ccr do?
Compress-Cache-Retrieve for huge, repetitive array tool output (logs, scan results, time series, event streams) before it enters context. Honey Ccr is an agent skill from Green-PT/honey-for-devs. Compress-Cache-Retrieve for huge, repetitive array tool output (logs, scan results, time series, event streams) before it enters context.
When should I use Honey Ccr?
Honey Ccr fits situations like: A tool returns a long uniform JSON array you must read but mostly skim; the full set is one command away if needed.
How do I install Honey Ccr in Claude Code?
Run `npx skills add Green-PT/honey-for-devs --skill honey-ccr -a claude-code`. Or copy the skill folder (skills/honey-ccr in Green-PT/honey-for-devs) into .claude/skills/honey-ccr in your project. Claude Code loads it when a task matches its description.
How do I install Honey Ccr in Codex?
Run `npx skills add Green-PT/honey-for-devs --skill honey-ccr -a codex`. Or copy the skill folder (skills/honey-ccr in Green-PT/honey-for-devs) into .agents/skills/honey-ccr in your project. Codex loads it when a task matches its description.
Can I use Honey Ccr 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 Green-PT/honey-for-devs --skill honey-ccr -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/honey-ccr, .gemini/skills/honey-ccr, .github/skills/honey-ccr and .opencode/skills/honey-ccr in your project.
What does Honey Ccr need to run?
SKILL.md names no scripts, command-line tools or credentials: Honey Ccr is instructions for the agent only.
Does Honey Ccr 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 Honey Ccr 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 Honey Ccr use?
Honey Ccr is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Honey Ccr use?
About 674 tokens (SKILL.md is roughly 2.7k 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 Honey Ccr?
Skills that share tags, products or a category with Honey Ccr: 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 Honey Ccr?
Green-PT (a GitHub organization) maintains it in Green-PT/honey-for-devs, which has 313 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on September 7, 2026.
Source: Green-PT/honey-for-devs on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.