Luopan Company Research
zhangxiaoqiang1991/luopan
罗盘的公司研究子模式。研究具体上市或非上市公司的财务增长、商业模式、 竞争生态位、治理与组织信号,并分别生成投资初筛和求职初筛。
Evaluate supplied account records against an experimental pre-call policy and flag literal opt-out phrases before integrating a CALL-E collection or account-servicing workflow.
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill cleared-to-call -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents cleared-to-call --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/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cleared-to-call .claude/skills/cleared-to-call && 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 "cleared-to-call" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/cleared-to-call into .claude/skills/cleared-to-call/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cleared-to-call", 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/CALLE-AI/awesome-phone-call-agents/tree/main/skills/cleared-to-callType 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 CALLE-AI/awesome-phone-call-agents --skill cleared-to-call -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents cleared-to-call --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/cleared-to-call .agents/skills/cleared-to-call && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cleared-to-call" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/cleared-to-call into .agents/skills/cleared-to-call/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cleared-to-call", 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 CALLE-AI/awesome-phone-call-agents --skill cleared-to-call -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents cleared-to-call --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/cleared-to-call .cursor/skills/cleared-to-call && 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 "cleared-to-call" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/cleared-to-call into .cursor/skills/cleared-to-call/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cleared-to-call", 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/CALLE-AI/awesome-phone-call-agents.git --path skills/cleared-to-call--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 CALLE-AI/awesome-phone-call-agents --skill cleared-to-call -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents cleared-to-call --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/cleared-to-call .gemini/skills/cleared-to-call && 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 "cleared-to-call" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/cleared-to-call into .gemini/skills/cleared-to-call/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cleared-to-call", 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 CALLE-AI/awesome-phone-call-agents cleared-to-callInstalls 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 CALLE-AI/awesome-phone-call-agents --skill cleared-to-call -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/cleared-to-call .github/skills/cleared-to-call && 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 "cleared-to-call" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/cleared-to-call into .github/skills/cleared-to-call/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cleared-to-call", 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 CALLE-AI/awesome-phone-call-agents --skill cleared-to-call -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents cleared-to-call --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/cleared-to-call .opencode/skills/cleared-to-call && 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 "cleared-to-call" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/cleared-to-call into .opencode/skills/cleared-to-call/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cleared-to-call", 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.
cleared-to-callEvaluate supplied account records against an experimental pre-call policy and flag literal opt-out phrases before integrating a CALL-E collection or account-servicing workflow.
Cleared To Call is an agent skill from CALLE-AI/awesome-phone-call-agents. Evaluate supplied account records against an experimental pre-call policy and flag literal opt-out phrases before integrating a CALL-E collection or account-servicing workflow. Offline advisory helpers only; the host owns calling, suppression persistence, and audit records.
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files, including scripts, reference files and assets (for example `assets/example-accounts.json`, `assets/policy.json` and `references/examples.md`).
It sits in Sales & Support, covering Sales call preparation. The repository describes itself as: Portable phone-call Agent Skills, apps, examples, adapters, and scheduler recipes for AI agents. The licence is MIT.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 38d4118. 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.
Ships 5 files in scripts/ (JavaScript), which the agent can run.
Shell commands in SKILL.md call:
nodeFrom 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.
Cleared To Call loads about 2.6k tokens when it runs, and up to ~8k if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 1,387 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); the scripts in this folder are not scanned.
The full file from CALLE-AI/awesome-phone-call-agents at commit 38d4118, republished under its MIT licence (© CALLE-AI). 1,387 words, ~2,595 tokens.
.claude/skills/cleared-to-call/SKILL.md (or your agent's skills folder). This skill also uses 12 other files; get the full folder from GitHub.Use this skill when an agent is about to place an outbound call to a consumer about money: a past-due balance, a payment reminder, a collection follow-up, or any account-servicing call where the recipient did not initiate the contact.
cleared-to-call supplies offline advisory helpers, not a dialer or a legal
compliance certification. They read supplied records, evaluate a declared
policy, and print results. They do not place or end calls, write suppression
entries, or create or verify an audit chain. The integration requirements below
describe work a host must implement; they are not shipped runtime features.
An ALLOW result is not proof that a call is lawful or authorized.
The rules are data, not prose. They live in assets/policy.json and are
explained in references/policy.md.
Use this skill for:
Do not use this skill to:
If the caller wants a block overridden, the answer is to fix the underlying record, not the gate. A missing timezone is fixed by getting the timezone, not by assuming one.
Each account must carry all of these. None of them may be inferred:
account_iddisplay_namephone_e164 - E.164, for example +15550101234timezone - IANA zone name, for example America/New_Yorkamount_due and currencyconsent_on_file - true or falseconsent_timestamp - required when consent_on_file is trueCheck a batch before evaluating any of it:
node scripts/validate-input.mjs --file accounts.jsonA row that fails validation is reported and skipped. It is never dialed.
Never derive timezone from the phone number, the area code, the operator's
locale, the server clock, or the country code. Rule 1 is a statement about the
recipient's local time, so a guessed timezone is a guessed legal position. If
the timezone is missing or unknown, the account is blocked.
The skill ships a fictional batch that hits every branch. Nothing dials:
node scripts/validate-input.mjs --file assets/example-accounts.json
node scripts/evaluate-account.mjs \
--file assets/example-accounts.json --account-id A-1002 \
--suppression assets/example-suppression.jsonl --now 2026-08-28T13:30:00Z
node scripts/check-revocation.mjs --utterance "stop calling me"At that instant A-1001 is clear, A-1002 is outside its local call window,
A-1003 has no consent, and A-1004 is suppressed.
The host must run these four checks before dialing. Passing them is necessary for this sample policy, not sufficient authorization for a real call.
| Rule | Requirement | Block reason |
|---|---|---|
R1 call_window | Local time at the recipient is inside 08:00-21:00 | OUTSIDE_CALL_WINDOW |
R2 consent_on_file | Prior express consent is recorded, with a timestamp | NO_CONSENT |
R3 not_suppressed | The number is not on the opt-out or DNC list | ON_SUPPRESSION_LIST |
R4 disclosure_ready | The rendered script carries every required disclosure element | MISSING_DISCLOSURE |
Run the gate on one account:
node scripts/evaluate-account.mjs \
--file accounts.json \
--account-id A-1001 \
--suppression suppression.jsonlExit code 0 is ALLOW, 2 is BLOCK, 1 is unusable input. The printed JSON
holds every rule result, not only the failing one, so an audit reader can see
the whole evaluation.
When several rules fail, the reported block_reason is the first failure in
policy order. All four are still evaluated and printed for the host to retain.
Read references/policy.md for what each rule means, which authority it comes
from, and the property it is meant to enforce.
Rule 5 cannot be decided before dialing. A host integration has two duties; only the literal transcript checker is included here:
The checker prints a required action; it does not carry it out. If the agent
talks past an opt-out, the host must still persist suppression and record
opt_out. A post-call check cannot retrospectively stop a running call.
node scripts/check-revocation.mjs --utterance "stop calling me"
node scripts/check-revocation.mjs --transcript transcript.jsonExit code 3 means the number must be suppressed. Only recipient turns count:
the agent saying "if you would like us to stop calling" is a required
disclosure, not an opt-out.
Once the host persists suppression and supplies the updated list, R3 blocks the number on later evaluations. The host must retain the opt-out unless the consumer asks for it to be reversed.
This skill does not place calls. Once an account is cleared, hand it to the
existing CALL-E route - the CALL-E CLI, MCP plan_call / run_call /
get_call_run, or whatever route the current client already uses:
gate -> ALLOW -> plan_call -> inspect plan -> run_call -> get_call_run -> transcript -> revocation re-checkRequirements on the call task handed to CALL-E:
promise_to_pay, dispute,
refusal, no_answer, opt_outInspect the plan before running it. If the plan targets a different number than
the cleared account, do not run it. Providers often echo the destination masked,
for example ...9724: compare its last four digits with the cleared number. A
plan that names no destination at all cannot be checked, and an unchecked plan
is not a verified one - do not run it unless the operator explicitly accepts
that. Match symbol masks only; the call script itself says "account ending
1001", and reading that as a destination would refuse every call.
Suggested host outcome shape, not an output implemented by the bundled helpers:
{
"account_id": "A-1001",
"call_placed": true,
"block_reason": null,
"disclosure_given": true,
"outcome": "promise_to_pay",
"promise_date": "2026-09-05",
"opt_out": false,
"audit_ref": "aud_0af29e7f"
}outcome is one of promise_to_pay, dispute, refusal, no_answer,
opt_out, not_called. A blocked account is always not_called with
call_placed: false and a non-null block_reason.
The host must derive disclosure_given from what was actually said, not merely
from the script. This package does not implement that post-call verification.
Optional host design: retain decisions in a hash-linked JSONL log. This package does not append entries or verify a chain. A hash chain alone is not proof of legal compliance or protection against rewriting the entire log.
Such an entry can hold the timestamp, the account id, the masked phone number, the
decision, the block reason, every rule result, the outcome, the policy id and
version, and prev_hash plus hash.
The host must mask phone numbers in audit output, for example +1******1234.
All bundled helpers are offline: they read input and print advisory results. There is no live adapter, simulated dialer, suppression writer, or audit-chain writer. Host integrations must provide and validate those features separately.
Never place a real call to test the helpers. Offline checks exercise the declared sample policy, not the legality of a real calling program.
Place a real call only when the operator has explicitly asked for one, on a number they are authorized to call.
Read references/safety.md for the full contract. Always:
After a host-managed batch, report only actions the host actually performed:
If the gate blocked everything, say so plainly and give the reasons. A run that places no calls because no account was clearable is a successful run, not a failure.
See references/examples.md for worked batches, including the refusal cases.
© CALLE-AI, MIT. 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 12 other files (scripts, references, assets) in skills/cleared-to-call of CALLE-AI/awesome-phone-call-agents.
Open the folder on GitHubat commit 38d4118
Cleared To Call 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 |
|---|---|---|---|---|---|---|
| Cleared To Call this skillCALLE-AI/awesome-phone-call-agents | 107 | — | ~2.6k | Automated safety check: Pass | MIT | |
| Luopan Company Researchzhangxiaoqiang1991/luopan | 389 | — | ~998 | Automated safety check: Pass | MIT | |
| Company Researchstophobia/deerflow2.0-enhanced | 822 | — | ~845 | Automated safety check: Pass | MIT | |
| Meeting Prep BriefBrianRWagner/ai-marketing-claude-code-skills | 441 | — | ~922 | Automated safety check: Pass | None | |
| SdtStopDisTrain/sdt-skills | 309 | — | ~535 | Automated safety check: Pass | MIT | |
| Account Researchextruct-ai/gtm-skills | 109 | — | ~1.6k | Automated safety check: Pass | None |
zhangxiaoqiang1991/luopan
罗盘的公司研究子模式。研究具体上市或非上市公司的财务增长、商业模式、 竞争生态位、治理与组织信号,并分别生成投资初筛和求职初筛。
stophobia/deerflow2.0-enhanced
综合企业背景调研技能,用于尽职调查、合作伙伴评估、投资分析、市场研究等场景。支持公司工商信息、财务数据、法律风险、舆情分析、竞品对比等多维度调研,自动生成Markdown和HTML格式的专业调研报告。触发条件:用户提及"企业调研"、"公司背景"、"尽职调查"、"合作伙伴评估"、"投资分析"、"市场研究"等关键词。
BrianRWagner/ai-marketing-claude-code-skills
Builds a pre-meeting brief from your Obsidian vault: participant research, past notes, open commitments, a prioritized agenda and sharp questions.
StopDisTrain/sdt-skills
SDT 内容生产工具箱的总入口:根据当前任务选择最合适的 sdt- 模块,既能完成标题、开头等单一步骤,也能组织从账号研究到发布的完整流程。用户不知道该用哪个 SDT Skill,或希望一站式完成内容生产时使用。
extruct-ai/gtm-skills
Deep-research a single target account into a decision-ready dossier: the entity tree, the buying units and decision-makers, live signals (open/closed roles, leadership moves, news, tech stack), and…
breakstageaxe61/genspark-claw
Prepare an AI phone call end-to-end — research the callee, set a concrete objective and fallback, draft a natural call script with branching, and produce a post-call summary template.
CALLE-AI/awesome-phone-call-agents
Demonstrates advisory accessibility-planning checks with offline fixtures and a proposed bounded CALL-E workflow; use for exploring unknown or qualified venue claims without making calls.
CALLE-AI/awesome-phone-call-agents
A skill your agent uses when an agent holds some evidence for a physical-world claim but the evidence is broader, narrower, or older than the exact question asked, and it must first decide whether a…
CALLE-AI/awesome-phone-call-agents
Call a venue and ask the accessibility questions that matter to one specific person — step-free entry, hearing loop, guide dogs, quiet hours, changing places — then return a per-need verdict backed…
CALLE-AI/awesome-phone-call-agents
Turns a pre-written, building-level location config into a CALL-E outbound phone-call task that guides a delivery driver through the last few hundred metres to a specific building using landmarks…
CALLE-AI/awesome-phone-call-agents
Turn cited business research into a bounded, approval-gated phone-call plan that asks only unresolved factual questions, then reconcile CALL-E-compatible results without treating voicemail, refusal…
CALLE-AI/awesome-phone-call-agents
Place a goal-driven CALL-E call that collects specific structured answers, score those answers against a deterministic rubric you supply, and conditionally trigger a follow-up action — all runnable…
Categories
Evaluate supplied account records against an experimental pre-call policy and flag literal opt-out phrases before integrating a CALL-E collection or account-servicing workflow. Cleared To Call is an agent skill from CALLE-AI/awesome-phone-call-agents. Evaluate supplied account records against an experimental pre-call policy and flag literal opt-out phrases before integrating a CALL-E collection or account-servicing workflow.
Cleared To Call fits situations like: tasks that involve Sales call preparation.
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill cleared-to-call -a claude-code`. Or copy the skill folder (skills/cleared-to-call in CALLE-AI/awesome-phone-call-agents) into .claude/skills/cleared-to-call in your project. Claude Code loads it when a task matches its description.
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill cleared-to-call -a codex`. Or copy the skill folder (skills/cleared-to-call in CALLE-AI/awesome-phone-call-agents) into .agents/skills/cleared-to-call 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 CALLE-AI/awesome-phone-call-agents --skill cleared-to-call -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cleared-to-call, .gemini/skills/cleared-to-call, .github/skills/cleared-to-call and .opencode/skills/cleared-to-call in your project.
Going by SKILL.md and its folder, Cleared To Call needs JavaScript for the scripts in its folder and the command-line tools its instructions call (node). Our summary lists: Node.js.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Cleared To Call is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.6k 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 5.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Cleared To Call: Luopan Company Research (zhangxiaoqiang1991/luopan, 389 stars), Company Research (stophobia/deerflow2.0-enhanced, 822 stars), Meeting Prep Brief (BrianRWagner/ai-marketing-claude-code-skills, 441 stars) and Sdt (StopDisTrain/sdt-skills, 309 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
CALLE-AI (a GitHub organization) maintains it in CALLE-AI/awesome-phone-call-agents, which has 107 GitHub stars. The repository holds 101 skills in this directory. The repository was last updated on October 10, 2026.
Source: CALLE-AI/awesome-phone-call-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.