Phone
BlockRunAI/ClawRouter
Verify phone numbers (carrier + SIM-swap fraud signals) and place AI-powered outbound voice calls via BlockRun's gateway (Twilio + Bland.ai).
Turn CALL-E phone results into structured mission evidence, evaluate whether the current strategy is still viable, and generate the next operation when reality changes the plan.
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill mission-replan-loop -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents mission-replan-loop --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/mission-replan-loop .claude/skills/mission-replan-loop && 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 "mission-replan-loop" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/mission-replan-loop into .claude/skills/mission-replan-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mission-replan-loop", 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/mission-replan-loopType 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 mission-replan-loop -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents mission-replan-loop --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/mission-replan-loop .agents/skills/mission-replan-loop && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mission-replan-loop" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/mission-replan-loop into .agents/skills/mission-replan-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mission-replan-loop", 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 mission-replan-loop -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents mission-replan-loop --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/mission-replan-loop .cursor/skills/mission-replan-loop && 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 "mission-replan-loop" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/mission-replan-loop into .cursor/skills/mission-replan-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mission-replan-loop", 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/mission-replan-loop--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 mission-replan-loop -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents mission-replan-loop --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/mission-replan-loop .gemini/skills/mission-replan-loop && 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 "mission-replan-loop" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/mission-replan-loop into .gemini/skills/mission-replan-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mission-replan-loop", 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 mission-replan-loopInstalls 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 mission-replan-loop -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/mission-replan-loop .github/skills/mission-replan-loop && 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 "mission-replan-loop" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/mission-replan-loop into .github/skills/mission-replan-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mission-replan-loop", 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 mission-replan-loop -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 mission-replan-loop --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/mission-replan-loop .opencode/skills/mission-replan-loop && 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 "mission-replan-loop" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/mission-replan-loop into .opencode/skills/mission-replan-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mission-replan-loop", 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.
mission-replan-loopTurn CALL-E phone results into structured mission evidence, evaluate whether the current strategy is still viable, and generate the next operation when reality changes the plan.
Mission Replan Loop is an agent skill from CALLE-AI/awesome-phone-call-agents. Turn CALL-E phone results into structured mission evidence, evaluate whether the current strategy is still viable, and generate the next operation when reality changes the plan. Use when a call may invalidate the plan rather than simply complete a step.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including reference files (for example `examples/field-service-recovery.yaml`, `examples/logistics-recovery.yaml` and `examples/procurement-recovery.yaml`).
The repository describes itself as: Portable phone-call Agent Skills, apps, examples, adapters, and scheduler recipes for AI agents. The licence is MIT.
11 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml).
From 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.
Mission Replan Loop loads about 1.6k tokens when it runs, and up to ~4.7k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 751 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 CALLE-AI/awesome-phone-call-agents at commit 38d4118, republished under its MIT licence (© CALLE-AI). 751 words, ~1,599 tokens.
.claude/skills/mission-replan-loop/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.Let CALL-E results change what your workflow does next.
CALL → EVIDENCE → CONSTRAINT → STRATEGY STATUS → CONTINUE / REPLAN → NEXT CALLDo not use for one-shot calls whose result only needs to be recorded.
| Call result | Strategy status | Replan | Next call |
|---|---|---|---|
pickup_time: 16:00 | valid | no | none |
pickup_time: 18:00 | invalid | yes | alternative candidate |
One row is the reason this is a skill rather than a call script. Nothing about the mission changed between them — only what someone said on the phone.
| Domain | Call-derived evidence | Failed constraint | Replan |
|---|---|---|---|
| Logistics | pickup 18:00 | cutoff 17:30 | alternative carrier |
| Procurement | capacity 2,000 units | need 5,000 | multi-supplier strategy |
| Field service | technician unavailable | restore by 16:00 | alternate technician |
call_id, target and timestamp.VALID, INVALID, UNCERTAIN or INFEASIBLE.INVALID → propose a replacement strategy that materially differs from the failed one.UNCERTAIN → propose a clarification, never a decision.INFEASIBLE → escalate. Escalation is a valid result.confidence: low and
cannot satisfy a hard constraint.UNCERTAIN — never pick the convenient one.lte/lt time constraints by the present as well as by the requirement.A call can fail for reasons that say nothing about the contact. Collapsing them into one story is the most expensive mistake available here, because the result is an operational narrative that reads perfectly and is false.
| recipient failure | execution failure | |
|---|---|---|
| examples | no answer, busy, declined, voicemail | unsupported destination, malformed request, provider or auth error |
| what it says about the target | it was asked, and did not usefully answer | nothing — it was never asked |
| strategy | retry, then invalidate and replan | leave standing: not_evaluated |
| candidate list | move to the next target | stop; the next target fails the same way |
| what a human is told | "could not be reached" | "the call was never placed", and why |
The failure mode to avoid: a configuration error walks the whole candidate list, burns the budget, and reports "no candidate could be reached" — a plausible business conclusion covering a platform fault, with no phone ever ringing.
Three replan causes, three sentences. A target that answered and breached a constraint, a target that never answered, and a target a human declined are not the same event, and an interface that says the same thing about all three is lying about two of them.
When you define the structured result the phone agent should return:
unknown member over a boolean. An
unanswered question must never read as "no", and a nullable boolean invites
exactly that. (CALL-E's own guidance, and it rejects union types such as
["boolean", "null"] outright.)confirmed / approximate /
unknown. "Probably around six" is not a false boolean; it is an approximate
answer, and naming it lets the extraction model choose rather than guess.unknown.references/examples.md — five worked cases, one per outcome shapereferences/safety.md — what may never be concluded from a callreferences/replanning-policy.md — retry, replan and operation budgetsreferences/mission-state.md — the state the host must hold between callsThe skill proposes operations; the host application authorises and executes them. Financial, contractual, irreversible or sensitive actions stay subject to host policy.
mission: { objective, deadline }
constraints: [ { key, operator, value, mandatory } ]
strategy: { id, type, target }
call_result: { call_id, target, status, facts: { ... } }
policy: { allowed, approval_required, prohibited }evidence: [ { fact, value, source_call, confidence, status } ]
constraint_results: [ { constraint, required, observed, status } ]
strategy_status: valid | invalid | uncertain | infeasible
replan: { required, reason, previous_target, proposed_strategy }
next_operation: { type, objective, required_information }
policy_result: { status }
escalation: { required, reason }© 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 11 other files (references) in skills/mission-replan-loop of CALLE-AI/awesome-phone-call-agents.
Open the folder on GitHubat commit 38d4118
Mission Replan Loop 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 |
|---|---|---|---|---|---|---|
| Mission Replan Loop this skillCALLE-AI/awesome-phone-call-agents | 107 | — | ~1.6k | Automated safety check: Pass | MIT | |
| PhoneBlockRunAI/ClawRouter | 6.6k | — | ~2.4k | Automated safety check: Pass | MIT | |
| Phone Harnessmilind-soni/OpenMausBot | 4.4k | — | ~364 | Automated safety check: Pass | Apache-2.0 | |
| Phone HarnessShawnPana/phone-harness | 3.2k | — | ~7.7k | Automated safety check: Pass | MIT | |
| Mission Control Agent APIbuilderz-labs/mission-control | 6.3k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Mission Slice Sopmvschwarz/openrig | 6.8k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 |
BlockRunAI/ClawRouter
Verify phone numbers (carrier + SIM-swap fraud signals) and place AI-powered outbound voice calls via BlockRun's gateway (Twilio + Bland.ai).
milind-soni/OpenMausBot
Control, inspect, test, or automate a physical Android phone connected to OpenMausBot over authorized USB debugging.
ShawnPana/phone-harness
Control the user's phone - an iPhone through the Mac's iPhone Mirroring window, an Android over adb, a rented cloud Android, or a cloud iPhone over HTTPS: open apps, tap, type, swipe, read the screen.
builderz-labs/mission-control
Teaches an agent to use the Mission Control dashboard API: register, send heartbeats, fetch assigned tasks, report progress and disconnect, with API key auth.
mvschwarz/openrig
A skill your agent uses when starting, building, handing off, restoring, or closing a mission or slice under the default lightweight SDLC.
LeoYeAI/openclaw-master-skills
Integrate with Mission Control dashboard to report task progress, publish documents to the Library, request approvals, and submit project requests.
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…
Turn CALL-E phone results into structured mission evidence, evaluate whether the current strategy is still viable, and generate the next operation when reality changes the plan. Mission Replan Loop is an agent skill from CALLE-AI/awesome-phone-call-agents. Turn CALL-E phone results into structured mission evidence, evaluate whether the current strategy is still viable, and generate the next operation when reality changes the plan.
Mission Replan Loop fits situations like: A call may invalidate the plan rather than simply complete a step.
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill mission-replan-loop -a claude-code`. Or copy the skill folder (skills/mission-replan-loop in CALLE-AI/awesome-phone-call-agents) into .claude/skills/mission-replan-loop in your project. Claude Code loads it when a task matches its description.
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill mission-replan-loop -a codex`. Or copy the skill folder (skills/mission-replan-loop in CALLE-AI/awesome-phone-call-agents) into .agents/skills/mission-replan-loop 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 mission-replan-loop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mission-replan-loop, .gemini/skills/mission-replan-loop, .github/skills/mission-replan-loop and .opencode/skills/mission-replan-loop in your project.
SKILL.md names no scripts, command-line tools or credentials: Mission Replan Loop is instructions for the agent only.
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.
Mission Replan Loop is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.6k tokens (SKILL.md is roughly 6.4k 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 3.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Mission Replan Loop: Phone (BlockRunAI/ClawRouter, 6.6k stars), Phone Harness (milind-soni/OpenMausBot, 4.4k stars), Phone Harness (ShawnPana/phone-harness, 3.2k stars) and Mission Control Agent API (builderz-labs/mission-control, 6.3k 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.