MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Ask a service provider about availability and price in one authorized phone call, then return full transcript quotations and explicit unknowns without booking anything.
MITAuto-check passed
Install Znak Callops
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill znak-callops -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents znak-callops --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/znak-callops .claude/skills/znak-callops && 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 "znak-callops" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/znak-callops into .claude/skills/znak-callops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "znak-callops", 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/znak-callopsType 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 znak-callops -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents znak-callops --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/znak-callops .agents/skills/znak-callops && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "znak-callops" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/znak-callops into .agents/skills/znak-callops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "znak-callops", 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 znak-callops -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents znak-callops --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/znak-callops .cursor/skills/znak-callops && 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 "znak-callops" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/znak-callops into .cursor/skills/znak-callops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "znak-callops", 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/znak-callops--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 znak-callops -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents znak-callops --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/znak-callops .gemini/skills/znak-callops && 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 "znak-callops" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/znak-callops into .gemini/skills/znak-callops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "znak-callops", 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 znak-callopsInstalls 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 znak-callops -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/znak-callops .github/skills/znak-callops && 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 "znak-callops" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/znak-callops into .github/skills/znak-callops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "znak-callops", 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 znak-callops -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 znak-callops --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/znak-callops .opencode/skills/znak-callops && 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 "znak-callops" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/znak-callops into .opencode/skills/znak-callops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "znak-callops", 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
znak-callops- GitHub stars
- 107
- Token cost
- ~1.1k tokens
- SKILL.md length
- 575 words
- Files
- 13 (incl. scripts, references, assets)
- Skills in repo
- 101
- Repo updated
- First seen
- Licence
- MIT
At a glance
Ask a service provider about availability and price in one authorized phone call, then return full transcript quotations and explicit unknowns without booking anything.
- Works in 7 steps: Establish the user's exact question,… → Use prepare-goal with the resolved… → Invoke CALL-E plan_call with the user's… → …
- The source of each answer matters as much as the answer
- SKILL.md covers Setup and verification, Workflow and Result meaning
- Runs Python scripts from its folder; calls python3
What it does
Znak Callops is an agent skill from CALLE-AI/awesome-phone-call-agents. Ask a service provider about availability and price in one authorized phone call, then return full transcript quotations and explicit unknowns without booking anything. Use when the source of each answer matters as much as the answer.
Its SKILL.md is about 1.1k 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/synthetic_inquiry.json`, `assets/synthetic_missing_price.json` and `assets/synthetic_request.json`).
It works with Python. The repository describes itself as: Portable phone-call Agent Skills, apps, examples, adapters, and scheduler recipes for AI agents. The licence is MIT.
When your agent uses it
- The source of each answer matters as much as the answer
Example prompts
- “/znak-callops”
Requirements
- Python 3
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Establish the user's exact question, service scope, preferred time window,
- Use prepare-goal with the resolved request to produce the bounded call brief.
- Invoke CALL-E plan_call with the user's latest message verbatim in
- After the user clearly authorizes this call and the plan is ready, invoke
- Read get_call_run until a terminal outcome or a monitoring pause. If transcript
- Propose full provider-turn quotations for availability, quoted_price, and
- Return the checked quotes and their source pointers. Review relevance and
What it can do on your machine
Read from SKILL.md and the folder at commit 38d4118. 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
Ships 5 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
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
Znak Callops loads about 1.1k tokens when it runs, and up to ~4.4k if it reads all its reference files. Until then it costs about 62 tokens; SKILL.md has 575 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); the scripts in this folder are not scanned.
SKILL.md
The full file from CALLE-AI/awesome-phone-call-agents at commit 38d4118, republished under its MIT licence (© CALLE-AI). 575 words, ~1,125 tokens.
Download SKILL.mdSave it as
.claude/skills/znak-callops/SKILL.md (or your agent's skills folder). This skill also uses 12 other files; get the full folder from GitHub.- name
- znak-callops
- description
- Ask a service provider about availability and price in one authorized phone call, then return full transcript quotations and explicit unknowns without booking anything. Use when the source of each answer matters as much as the answer.
- license
- MIT
ZNAK CallOps
Turn a bounded service inquiry into a CALL-E plan and an inspectable result. This skill adds a small executable evidence checker: a completed call is not a verified answer, and a quote present in a transcript is not independent proof of its truth.
Setup and verification
Requires Python 3.10+ for the local helper, and an Agent Skills-compatible host
with authenticated CALL-E MCP tools or Python 3.11+ with the optional official SDK
adapter for live calls. Copy this whole directory to
the host's skill directory. For Codex, use ~/.codex/skills/znak-callops/.
Use references/call-e.md to connect the official provider.
The helper uses only Python's standard library and never connects to a network.
From the repository root, run the synthetic no-call demonstration:
python3 skills/znak-callops/scripts/callops.py demo
python3 -m unittest discover -s skills/znak-callops/scripts -p 'test_*.py'Read references/examples.md for inputs, expected results,
and manual verification. These tests exercise local code, not the CALL-E service.
The live host integration has not been verified by a real call in this contribution.
For the optional executable SDK path, read
references/sdk-dispatch.md. dispatch.py defaults to
a no-network preview and imports the official SDK only after explicit live/read
opt-in. No live CALL-E call has been verified through either path.
Workflow
- Establish the user's exact question, service scope, preferred time window, known destination, language, and permission to call that recipient for this purpose. Read references/safety.md before dispatch.
- Use
prepare-goalwith the resolved request to produce the bounded call brief. Show the masked destination, purpose, and inquiry only; do not book, accept a quote, pay, cancel, or disclose additional personal details. A request to prepare a plan alone does not authorize a phone call. - Invoke CALL-E
plan_callwith the user's latest message verbatim inuser_input. Pass only known fields; use the prepared brief asgoal. Follow the live tool schema. A plan does not place a call. - After the user clearly authorizes this call and the plan is ready, invoke
run_callonce with exactly the returnedplan_idandconfirm_token. Keep those opaque values out of public artifacts. Retain the returnedrun_idin the host's private task record. Follow the recovery rules in the provider reference; a timeout is not permission to redial. - Read
get_call_rununtil a terminal outcome or a monitoring pause. If transcript turns are available, preserve their exact text, order, and speaker. Map them to the helper's documented input. The provider's response schema is discovered at runtime; this normalized packet is local, not a CALL-E wire format. - Propose full provider-turn quotations for
availability,quoted_price, andfollow_up. Never clip qualifying words. Runvalidate-resulton that packet. If the provider exposes only a summary, leave the unsupported fields UNKNOWN. - Return the checked quotes and their source pointers. Review relevance and ambiguity: the checker verifies quote identity, not semantic interpretation, speaker authenticity, provider honesty, or that a time remains available. Leave booking and other commitments to a separate user decision.
Show full SKILL.md (104 more words)Show less
Result meaning
QUOTED: one complete provider turn is present in the supplied transcript. This is a reported statement, not a verified real-world fact.DISPUTED: distinct supported quotes remain for one field; show both for review.UNKNOWN: no acceptable source quote; show the rejected evidence reason.
Keep call status, source mode, and field status separate. COMPLETED with no
transcript still yields UNKNOWN answers. source_mode: synthetic identifies the
bundled demonstration; a caller-supplied live label is not independent attestation.
The helper has no booking API and cannot enforce what a remote voice model says.
Any observed commitment request or boundary breach must be surfaced to the user.
© 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
Files
SKILL.md and 12 other files (scripts, references, assets) in skills/znak-callops of CALLE-AI/awesome-phone-call-agents.
- SKILL.md
- assets/synthetic_inquiry.json
- assets/synthetic_missing_price.json
- assets/synthetic_request.json
- references/call-e.md
- references/examples.md
- references/safety.md
- references/sdk-dispatch.md
- scripts/callops.py
- scripts/dispatch.py
- scripts/requirements-live.txt
- scripts/test_callops.py
- scripts/test_dispatch.py
Open the folder on GitHubat commit 38d4118
Compare with similar skills
Znak Callops 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 |
|---|---|---|---|---|---|---|
| Znak Callops this skillCALLE-AI/awesome-phone-call-agents | 107 | — | ~1.1k | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| PDF Processinganthropics/skills | 180k | 47 repos | ~2k | Automated safety check: Pass | Proprietary | |
| NotebookLM Research AssistantPleasePrompto/notebooklm-skill | 7.8k | 14 repos | ~2.4k | Automated safety check: Notes | MIT | |
| Manim Video Productionbrowser-use/video-use | 29k | 6 repos | ~3k | Automated safety check: Pass | MIT | |
| PPT Masterhugohe3/ppt-master | 59k | 1 repos | ~2.5k | Automated safety check: Pass | MIT |
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Works with
Questions about Znak Callops
What does Znak Callops do?
Ask a service provider about availability and price in one authorized phone call, then return full transcript quotations and explicit unknowns without booking anything. Znak Callops is an agent skill from CALLE-AI/awesome-phone-call-agents. Ask a service provider about availability and price in one authorized phone call, then return full transcript quotations and explicit unknowns without booking anything.
When should I use Znak Callops?
Znak Callops fits situations like: the source of each answer matters as much as the answer.
How do I install Znak Callops in Claude Code?
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill znak-callops -a claude-code`. Or copy the skill folder (skills/znak-callops in CALLE-AI/awesome-phone-call-agents) into .claude/skills/znak-callops in your project. Claude Code loads it when a task matches its description.
How do I install Znak Callops in Codex?
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill znak-callops -a codex`. Or copy the skill folder (skills/znak-callops in CALLE-AI/awesome-phone-call-agents) into .agents/skills/znak-callops in your project. Codex loads it when a task matches its description.
Can I use Znak Callops 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 CALLE-AI/awesome-phone-call-agents --skill znak-callops -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/znak-callops, .gemini/skills/znak-callops, .github/skills/znak-callops and .opencode/skills/znak-callops in your project.
What does Znak Callops need to run?
Going by SKILL.md and its folder, Znak Callops needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Znak Callops 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 Znak Callops 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Znak Callops use?
Znak Callops 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 Znak Callops use?
About 1.1k tokens (SKILL.md is roughly 4.5k 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 3.3k tokens, read only when the agent opens those files.
What are the alternatives to Znak Callops?
Skills that share tags, products or a category with Znak Callops: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Znak Callops?
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.