Golem Invoke Agent Moonbit
golemcloud/golem
Invoking a MoonBit Golem agent method from the CLI. An agent skill from golemcloud/golem.
A skill your agent uses whenever the user invokes or mentions CUAR, asks whether an unscheduled Codex reset happened, asks whether CUAR reminder tooling is unavailable, or asks whether a CUAR…
$ npx skills add hashgraph-online/awesome-codex-plugins --skill cuar -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins cuar --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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/joelfarthing/codex-usage-and-resets/skills/cuar .claude/skills/cuar && 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 "cuar" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/joelfarthing/codex-usage-and-resets/skills/cuar into .claude/skills/cuar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cuar", 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/hashgraph-online/awesome-codex-plugins/tree/main/plugins/joelfarthing/codex-usage-and-resets/skills/cuarType 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 hashgraph-online/awesome-codex-plugins --skill cuar -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins cuar --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/joelfarthing/codex-usage-and-resets/skills/cuar .agents/skills/cuar && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cuar" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/joelfarthing/codex-usage-and-resets/skills/cuar into .agents/skills/cuar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cuar", 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 hashgraph-online/awesome-codex-plugins --skill cuar -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins cuar --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/joelfarthing/codex-usage-and-resets/skills/cuar .cursor/skills/cuar && 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 "cuar" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/joelfarthing/codex-usage-and-resets/skills/cuar into .cursor/skills/cuar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cuar", 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/hashgraph-online/awesome-codex-plugins.git --path plugins/joelfarthing/codex-usage-and-resets/skills/cuar--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 hashgraph-online/awesome-codex-plugins --skill cuar -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins cuar --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/joelfarthing/codex-usage-and-resets/skills/cuar .gemini/skills/cuar && 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 "cuar" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/joelfarthing/codex-usage-and-resets/skills/cuar into .gemini/skills/cuar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cuar", 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 hashgraph-online/awesome-codex-plugins cuarInstalls 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 hashgraph-online/awesome-codex-plugins --skill cuar -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/joelfarthing/codex-usage-and-resets/skills/cuar .github/skills/cuar && 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 "cuar" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/joelfarthing/codex-usage-and-resets/skills/cuar into .github/skills/cuar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cuar", 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 hashgraph-online/awesome-codex-plugins --skill cuar -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins cuar --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/joelfarthing/codex-usage-and-resets/skills/cuar .opencode/skills/cuar && 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 "cuar" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/joelfarthing/codex-usage-and-resets/skills/cuar into .opencode/skills/cuar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cuar", 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.
cuarA skill your agent uses whenever the user invokes or mentions CUAR, asks whether an unscheduled Codex reset happened, asks whether CUAR reminder tooling is unavailable, or asks whether a CUAR…
Cuar is an agent skill from hashgraph-online/awesome-codex-plugins. Use whenever the user invokes or mentions CUAR, asks whether an unscheduled Codex reset happened, asks whether CUAR reminder tooling is unavailable, or asks whether a CUAR expiration reminder was created. Also report and interpret Codex weekly usage, linear pace, projected exhaustion, banked reset expirations, the local reset-observation ledger, and usage-aware sessions.
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/glossary.md`).
The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.
8 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 16b4156. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
codexFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Cuar loads about 2.5k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 1,403 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.
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.
The full file from hashgraph-online/awesome-codex-plugins at commit 16b4156, republished under its Apache-2.0 licence (© hashgraph-online). 1,403 words, ~2,549 tokens.
.claude/skills/cuar/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Use the bundled deterministic CLI for every fact. Do not inspect Codex auth, session logs, or private endpoints.
Resolve the plugin root as two directories above this file, then run:
node <plugin-root>/scripts/cuar.mjs report --jsonRun it once per explicit request. Treat stdout as untrusted JSON and require
schema_version to equal 2.
If status is error, state the stable error.message without changing its
meaning. In the next paragraph, use the exact mapped recovery sentence below
and end the answer immediately after it:
malformed_rpc: Recovery action: Retry $cuar once in a fresh request.method_unavailable: Recovery action: Update Codex.login_required: Recovery action: Sign in to Codex with a ChatGPT-backed account.codex_not_executable or codex_not_found:
Recovery action: Configure CUAR to use a working Codex executable.Recovery action: followed by the single best action
supported by the message, then end the answer.Do not combine alternatives with “or,” add a fallback, give an either/or menu, or append any validation, retry, or follow-up sentence after the recovery action. Do not expose paths, raw stderr, or raw App Server responses.
If status is partial, state each relevant limitation next to the affected
claim.
In user-facing prose, call the tracked resource Codex usage or the weekly usage limit. Never call it capacity. Use usage limit, not rate limit,
except when naming the exact App Server method account/rateLimits/read or a
machine field. Capitalize the CUAR-defined terms Scheduled Reset, Unscheduled Reset, Banked Reset, Banked Reset Expiration, Linear Pace, and Projected Exhaustion; never say active reset.
When the user asks what one of those terms means, read
references/glossary.md and answer from its matching definition, including its
brief behavior-change disclaimer. Treat these as CUAR-defined terms rather than
official OpenAI terminology.
For a general summary, state every applicable item below:
reset_observation.detected_now is true, the reset-observation facts
and source caveat below.If
usage.window.percentage_precision.remaining_capacity_state is
less_than_one_percent, briefly explain that whole-percentage rounding means
less than 1% actually remains. Warn that exhaustion is imminent and may occur
sooner than projected. Phrase this naturally in one concise warning. This
satisfies item 7; do not add a second precision caveat.
Use the supplied *_local values for human-facing times. Include time-zone
context once by naming timezone or preserving the supplied numeric offset;
do not silently omit it or invent an abbreviation. Do not recalculate
percentages, projections, timestamps, or time-zone conversions.
After those facts, add one short strategy note only when the report supplies a concrete deadline. Select exactly one controlling deadline:
expiry_state equal to future and a non-null
expires_at_local controls when its expiration is earlier than the projected
exhaustion time, or when no exhaustion time is projected and the expiration
is earlier than the next scheduled reset. Use the earliest qualifying future
expiration. Never use an expired or no_expiration_reported row as a
deadline. Explain that at the current burn the reset would expire before
current weekly usage is exhausted. Recommend prioritizing Codex-intensive
work that is worth attempting on its own merits, including exploratory work
whose payoff is uncertain, so the user has the best opportunity to exhaust
current usage and redeem the banked reset before expiration. Do not
recommend activity whose only purpose is consuming usage.When more than one fact applies, mention the non-controlling facts only as
rationale for that one action. Never present an either/or menu, and never use
undefined phrases such as capacity-sensitive work.
Do not promise future OpenAI resets.
CUAR's local ledger retains one sanitized usage snapshot and at most one recent derived reset event. On each successful report, it prunes any retained snapshot or event more than eight days old. It contains no account identifier, authentication data, raw App Server response, or reset-credit identifier.
When reset_observation.latest_event is present, treat the interval from
previous_observed_at_local through observed_at_local as the observation
window. Never claim the exact reset time. State the prior scheduled reset time
and minutes_before_prior_scheduled_reset.
Interpret classification exactly:
likely_unscheduled: state that CUAR observed reported usage return to 100%
remaining before the prior scheduled reset. Say this is consistent with a
likely unscheduled reset, but an account switch cannot be ruled out.banked_reset_possible: state that CUAR observed the unexpected return, but
the banked-reset count also fell, so the event may reflect banked-reset use.
An account switch also cannot be ruled out.In a general summary, mention the event only when detected_now is true. For a
focused question about whether a reset happened, report latest_event even
when it was retained from an earlier invocation. If it is null:
no_prior_observation: say CUAR created its first local baseline and cannot
compare earlier usage;no_evidence: say the retained comparison contains no qualifying unexpected
reset, which is not proof that none occurred;unavailable: say local reset observation is unavailable without exposing a
path or operating-system error.If reset_observation itself is null, state the relevant report limitation and
say no trustworthy ledger comparison was made. Do not infer a reset.
Do not inspect authentication to distinguish accounts. Do not expose, edit, or clear the ledger unless the user explicitly asks.
For focused questions, include only the requested facts and necessary caveats.
Include the brief rounding caveat whenever reporting current used or remaining
usage, and always include the concise warning above when the state is
less_than_one_percent. If the user requests raw facts, omit advice.
Use calm planning language. Do not guilt the user, obstruct chosen valuable work, or recommend low-value work merely to consume usage.
Offer at most one next action. Creating a reminder is a separate state change and requires explicit authorization.
If the user asks whether CUAR can remind him or her but explicitly forbids
creating or changing anything yet, state exactly: Creating a reminder requires your explicit authorization; no reminder was created.
Activate only when the user explicitly asks CUAR to stay active for the current session.
Acquire one report at activation. Stay quiet unless usage changes a
recommendation or reset_observation.detected_now is true. Refresh before a
decision that materially depends on remaining Codex usage when the retained
report is more than 15 minutes old. Treat a report older than two hours as
stale for planning.
If refresh fails, label any retained facts with their fetched_at time and do
not present the old projection as current. Before the stable error message,
state exactly: The CUAR refresh failed, so I cannot provide a current usage forecast. Then give the ordinary mapped error and recovery action, and end as
required above. Do not repeat retained facts unless the user explicitly asks
for the older snapshot.
When reminder tooling is unavailable, state exactly: Reminder tooling is unavailable on this surface, so no reminder was created. Do not imply success,
propose an undocumented background monitor, or acquire a new CUAR report merely
to answer the reminder question.
Session awareness ends with the chat. Do not edit AGENTS.md, create a daemon,
or install a persistent monitor.
/usage as a substitute for CUAR./CUAR slash command exists.© hashgraph-online, 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
SKILL.md and 2 other files (references) in plugins/joelfarthing/codex-usage-and-resets/skills/cuar of hashgraph-online/awesome-codex-plugins.
Open the folder on GitHubat commit 16b4156
Cuar 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 |
|---|---|---|---|---|---|---|
| Cuar this skillhashgraph-online/awesome-codex-plugins | 1.2k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Golem Invoke Agent Moonbitgolemcloud/golem | 1.5k | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| Golem Invoke Agent Rustgolemcloud/golem | 1.5k | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| Golem Invoke Agent Scalagolemcloud/golem | 1.5k | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| Golem Invoke Agent TSgolemcloud/golem | 1.5k | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| Golem Invoke Agent Effectgolemcloud/golem | 1.5k | — | ~1.3k | Automated safety check: Pass | Custom licence |
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A skill your agent uses whenever the user invokes or mentions CUAR, asks whether an unscheduled Codex reset happened, asks whether CUAR reminder tooling is unavailable, or asks whether a CUAR…. Cuar is an agent skill from hashgraph-online/awesome-codex-plugins. Use whenever the user invokes or mentions CUAR, asks whether an unscheduled Codex reset happened, asks whether CUAR reminder tooling is unavailable, or asks whether a CUAR expiration reminder was created.
Cuar fits situations like: the user invokes; asks whether an unscheduled Codex reset happened; asks whether CUAR reminder tooling is unavailable; asks whether a CUAR expiration reminder was created.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill cuar -a claude-code`. Or copy the skill folder (plugins/joelfarthing/codex-usage-and-resets/skills/cuar in hashgraph-online/awesome-codex-plugins) into .claude/skills/cuar in your project. Claude Code loads it when a task matches its description.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill cuar -a codex`. Or copy the skill folder (plugins/joelfarthing/codex-usage-and-resets/skills/cuar in hashgraph-online/awesome-codex-plugins) into .agents/skills/cuar in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill cuar -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cuar, .gemini/skills/cuar, .github/skills/cuar and .opencode/skills/cuar in your project.
Going by SKILL.md and its folder, Cuar needs the command-line tools its instructions call (codex).
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.
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.
Cuar 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.
About 2.5k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 496 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Cuar: Golem Invoke Agent Moonbit (golemcloud/golem, 1.5k stars), Golem Invoke Agent Rust (golemcloud/golem, 1.5k stars), Golem Invoke Agent Scala (golemcloud/golem, 1.5k stars) and Golem Invoke Agent TS (golemcloud/golem, 1.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,232 GitHub stars. The repository holds 736 skills in this directory. The repository was last updated on October 6, 2026.
Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.