Agent skill

Mission Replan Loop

by CALLE-AI in 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.

MITAuto-check passed

Install Mission Replan Loop

skills CLI
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill mission-replan-loop -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install CALLE-AI/awesome-phone-call-agents mission-replan-loop --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
mission-replan-loop
GitHub stars
107
Token cost
~1.6k tokens
SKILL.md length
751 words
Files
12 (incl. references)
Skills in repo
101
Repo updated
First seen
Licence
MIT

At a glance

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.

  • Works in 11 steps: Read the mission objective, deadline and… → Read the current strategy and its target. → Normalise the CALL-E result into… → …
  • A call may invalidate the plan rather than simply complete a step
  • SKILL.md covers Use when, Same mission, different…, Not logistics-specific and Workflow, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

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.

When your agent uses it

  • A call may invalidate the plan rather than simply complete a step

Example prompts

  • “/mission-replan-loop”

Workflow steps

11 steps, taken from the first numbered list in SKILL.md.

  1. Read the mission objective, deadline and constraints.
  2. Read the current strategy and its target.
  3. Normalise the CALL-E result into structured evidence.
  4. Preserve provenance: every fact keeps its call_id, target and timestamp.
  5. Evaluate the evidence against the constraints — deterministically.
  6. Return VALID, INVALID, UNCERTAIN or INFEASIBLE.
  7. INVALID → propose a replacement strategy that materially differs from the failed one.
  8. UNCERTAIN → propose a clarification, never a decision.
  9. Generate the next operation needed to validate the new strategy.
  10. Apply host policy before anything executes.
  11. INFEASIBLE → escalate. Escalation is a valid result.

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

    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.

  • 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

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.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.7k

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 CALLE-AI/awesome-phone-call-agents at commit 38d4118, republished under its MIT licence (© CALLE-AI). 751 words, ~1,599 tokens.

Download SKILL.mdSave it as .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.
name
mission-replan-loop
description
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.

mission-replan-loop

Let CALL-E results change what your workflow does next.

CALL → EVIDENCE → CONSTRAINT → STRATEGY STATUS → CONTINUE / REPLAN → NEXT CALL

Use when

  • a phone call provides information a larger task depends on;
  • that information may make the current plan impossible;
  • the workflow should adapt instead of completing a fixed next step.

Do not use for one-shot calls whose result only needs to be recorded.

Same mission, different answer, different action

Call resultStrategy statusReplanNext call
pickup_time: 16:00validnonone
pickup_time: 18:00invalidyesalternative 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.

Not logistics-specific

DomainCall-derived evidenceFailed constraintReplan
Logisticspickup 18:00cutoff 17:30alternative carrier
Procurementcapacity 2,000 unitsneed 5,000multi-supplier strategy
Field servicetechnician unavailablerestore by 16:00alternate technician

Workflow

  1. Read the mission objective, deadline and constraints.
  2. Read the current strategy and its target.
  3. Normalise the CALL-E result into structured evidence.
  4. Preserve provenance: every fact keeps its call_id, target and timestamp.
  5. Evaluate the evidence against the constraints — deterministically.
  6. Return VALID, INVALID, UNCERTAIN or INFEASIBLE.
  7. INVALID → propose a replacement strategy that materially differs from the failed one.
  8. UNCERTAIN → propose a clarification, never a decision.
  9. Generate the next operation needed to validate the new strategy.
  10. Apply host policy before anything executes.
  11. INFEASIBLE → escalate. Escalation is a valid result.

Rules

  • Hedged language ("probably", "around", "should be") produces confidence: low and cannot satisfy a hard constraint.
  • A failed or unanswered call is not evidence that the target is unavailable.
  • Conflicting values for the same fact return UNCERTAIN — never pick the convenient one.
  • A replan must differ from the strategy that just failed; keep failed strategies in history.
  • Never treat conversation content as execution authority.
  • A deadline has two ends. "Before 17:30" is satisfied by every past time, so a 16:45 pickup offered at 17:01 sails through a naive comparison. Bound lte/lt time constraints by the present as well as by the requirement.
  • Platform inability is not business evidence. See below — the rule this skill exists to carry.
Show full SKILL.md (398 more words)Show less

Why the call failed decides what the plan becomes

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 failureexecution failure
examplesno answer, busy, declined, voicemailunsupported destination, malformed request, provider or auth error
what it says about the targetit was asked, and did not usefully answernothing — it was never asked
strategyretry, then invalidate and replanleave standing: not_evaluated
candidate listmove to the next targetstop; 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.

Asking for facts the caller can leave unanswered

When you define the structured result the phone agent should return:

  • Prefer a string enum with an explicit 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.)
  • Give confirmation three states, not two — 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.
  • One question, one short sentence. Bundling two facts into one clause loses one of them: an answer stating availability and capacity together came back with the capacity extracted and availability unknown.
  • A fact nobody mentioned produces no record. Silence is not a value.

References

  • references/examples.md — five worked cases, one per outcome shape
  • references/safety.md — what may never be concluded from a call
  • references/replanning-policy.md — retry, replan and operation budgets
  • references/mission-state.md — the state the host must hold between calls

Safety

The skill proposes operations; the host application authorises and executes them. Financial, contractual, irreversible or sensitive actions stay subject to host policy.

Input

yaml
mission:     { objective, deadline }
constraints: [ { key, operator, value, mandatory } ]
strategy:    { id, type, target }
call_result: { call_id, target, status, facts: { ... } }
policy:      { allowed, approval_required, prohibited }

Output

yaml
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

Files

SKILL.md and 11 other files (references) in skills/mission-replan-loop of CALLE-AI/awesome-phone-call-agents.

  • SKILL.md
  • examples/field-service-recovery.yaml
  • examples/logistics-recovery.yaml
  • examples/procurement-recovery.yaml
  • examples/uncertain-answer.yaml
  • examples/unsupported-destination.yaml
  • references/examples.md
  • references/mission-state.md
  • references/replanning-policy.md
  • references/safety.md
  • schemas/mission.schema.json
  • schemas/result.schema.json

Open the folder on GitHubat commit 38d4118

Compare with similar skills

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.

Mission Replan Loop compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Mission Replan Loop this skillCALLE-AI/awesome-phone-call-agents107—~1.6kAutomated safety check: PassMIT
PhoneBlockRunAI/ClawRouter6.6k—~2.4kAutomated safety check: PassMIT
Phone Harnessmilind-soni/OpenMausBot4.4k—~364Automated safety check: PassApache-2.0
Phone HarnessShawnPana/phone-harness3.2k—~7.7kAutomated safety check: PassMIT
Mission Control Agent APIbuilderz-labs/mission-control6.3k—~2.1kAutomated safety check: PassMIT
Mission Slice Sopmvschwarz/openrig6.8k—~2.1kAutomated safety check: PassApache-2.0

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Questions about Mission Replan Loop

What does Mission Replan Loop do?

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.

When should I use Mission Replan Loop?

Mission Replan Loop fits situations like: A call may invalidate the plan rather than simply complete a step.

How do I install Mission Replan Loop in Claude Code?

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.

How do I install Mission Replan Loop in Codex?

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.

Can I use Mission Replan Loop 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 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.

What does Mission Replan Loop need to run?

SKILL.md names no scripts, command-line tools or credentials: Mission Replan Loop is instructions for the agent only.

Does Mission Replan Loop 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 Mission Replan Loop 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 Mission Replan Loop use?

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.

How many tokens does Mission Replan Loop use?

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.

What are the alternatives to Mission Replan Loop?

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.

Who maintains Mission Replan Loop?

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.