Agent skill

Forgerelay Supplier Clarification

by CALLE-AI in CALLE-AI/awesome-phone-call-agents

Use CALL-E to collect missing manufacturing RFQ details from an authorized supplier contact through a bounded, approval-gated phone call, then return structured answers without negotiating or making…

MITAuto-check passed

Install Forgerelay Supplier Clarification

skills CLI
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill forgerelay-supplier-clarification -a claude-code

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

GitHub CLI
$ gh skill install CALLE-AI/awesome-phone-call-agents forgerelay-supplier-clarification --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/forgerelay-supplier-clarification .claude/skills/forgerelay-supplier-clarification && 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
forgerelay-supplier-clarification
GitHub stars
107
Token cost
~3.9k tokens
SKILL.md length
1,925 words
Files
7 (incl. scripts, references, assets)
Skills in repo
101
Repo updated
First seen
Licence
MIT

At a glance

Use CALL-E to collect missing manufacturing RFQ details from an authorized supplier contact through a bounded, approval-gated phone call, then return structured answers without negotiating or making…

  • Works in 12 steps: Read references/safety.md. → Validate the required input contract. → Check that the outreach basis applies to… → …
  • SKILL.md covers Purpose And When To Use, When Not To Use, Binding Level And Runtime… and Source Contract, plus 15 more sections
  • Runs JavaScript scripts from its folder; calls node and python3; reaches seleven-mcp-sg.airudder.com

What it does

Forgerelay Supplier Clarification is an agent skill from CALLE-AI/awesome-phone-call-agents. Use CALL-E to collect missing manufacturing RFQ details from an authorized supplier contact through a bounded, approval-gated phone call, then return structured answers without negotiating or making commitments.

Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `assets/example-request.json`, `references/examples.md` and `references/safety.md`).

The repository describes itself as: Portable phone-call Agent Skills, apps, examples, adapters, and scheduler recipes for AI agents. The licence is MIT.

Example prompts

  • “/forgerelay-supplier-clarification”

Requirements

  • Node.js

Workflow steps

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

  1. Read references/safety.md.
  2. Validate the required input contract.
  3. Check that the outreach basis applies to this exact recipient and request.
  4. Check that the result target is a writable, new local CSV path and compute the content-bound idempotency key from the full safety contract
  5. Require a matching safetyReviewHash before reporting the request as dry-run ready.
  6. Reject a duplicate completed or active task with the same idempotency key.
  7. Produce a dry-run preview containing the exact basis, caller identity, masked destination, allowed context, ordered question prompts and…
  8. Ask the user to approve the exact call preview unless a previously approved runtime contract explicitly covers this exact task.
  9. Discover the authenticated CALL-E tools exposed by the host. Do not invent tool names or parameters.
  10. Prepare one call plan. Inspect it before execution.
  11. Run the plan only when it targets the approved E.164 number and preserves every boundary in the preview.
  12. Check status until the provider reports a terminal result. Reconcile the full available history before finalizing a negative 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

    Ships 2 files in scripts/ (JavaScript), which the agent can run.

    Shell commands in SKILL.md call:

    • node
    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • seleven-mcp-sg.airudder.com

    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

Forgerelay Supplier Clarification loads about 3.9k tokens when it runs, and up to ~5.6k if it reads all its reference files. Until then it costs about 61 tokens; SKILL.md has 1,925 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
When it runs · the whole SKILL.md, loaded when a task matches
~3.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.6k

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). 1,925 words, ~3,870 tokens.

Download SKILL.mdSave it as .claude/skills/forgerelay-supplier-clarification/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
forgerelay-supplier-clarification
description
Use CALL-E to collect missing manufacturing RFQ details from an authorized supplier contact through a bounded, approval-gated phone call, then return structured answers without negotiating or making commitments.

ForgeRelay Supplier Clarification

Purpose And When To Use

Use this skill when a manufacturing RFQ cannot safely move forward because a small set of factual details is missing and the user wants CALL-E to ask an authorized supplier contact for those details.

The skill is intentionally narrow. It collects bounded facts such as material, process, quantity, tolerance, finish, drawing revision, inspection needs, and requested delivery date. It does not negotiate, accept a quotation, place an order, approve a supplier, or make legal or commercial commitments.

Use this skill for:

  • clarification calls about missing or conflicting RFQ fields
  • follow-up on a known request or drawing revision
  • collecting structured answers for an RFQ operations record
  • a one-off call to a recipient whose outreach basis or consent is documented

When Not To Use

Do not use this skill to:

  • make cold calls when the outreach basis is unclear
  • negotiate price, payment, warranty, liability, intellectual property, or contract terms
  • authorize production, approve a quote, place or cancel an order, or select a supplier
  • request export-controlled, classified, medical, financial, or other highly sensitive information
  • infer a phone number, country code, timezone, language, or recipient consent
  • create recurring calls or retry a failed call without separate authorization
  • call emergency services or use the workflow for urgent safety incidents

Binding Level And Runtime Parameters

Selected binding level: parameterized-bound

The source family and field schema are fixed, while the concrete local JSON request, approved result path, recipient, questions, and CALL-E host are runtime parameters. This skill never binds credentials, phone numbers, or provider tool names at creation time.

Runtime parameters still allowed: request JSON path, local result CSV path, language, region, deadline, and an authenticated host runtime that exposes the required CALL-E route.

Source Contract

Source family: local-json-rfq-clarification

The source is one local JSON object that follows the required candidate fields below. The deterministic validator reads it without network access, rejects malformed input, masks the phone number, and produces an idempotent dry-run preview. It does not mutate the source.

Candidate Fields

Require all of these fields before preparing a call:

  • requestId: stable RFQ or task identifier
  • supplierLabel: non-sensitive recipient or organization label
  • phoneNumber: authorized E.164 destination
  • outreachBasis: structured, recipient-specific contact basis with type and reference
  • callerIdentity: business identity CALL-E should state
  • questions: one to eight bounded clarification questions
  • allowedContext: facts CALL-E may disclose during the call
  • resultTarget: durable destination for the structured result

Each question must have:

  • id: stable lowercase identifier
  • category: one allowed factual category
  • prompt: one factual question
  • required: boolean

Allowed outreach types are explicit-recipient-consent, existing-supplier-relationship, and inbound-follow-up-request. A public listing is not an outreach basis.

Optional fields are language, region, deadline, and notes. Do not infer them. Because prompts, context, and basis references contain free text, the first successful validation returns pending-safety-review and a SHA-256 safetyReviewHash. After a human or authorized agent reviews the exact preview, add:

json
{
  "safetyReview": {
    "status": "approved",
    "reviewedBy": "reviewer identity",
    "contentHash": "exact safetyReviewHash"
  }
}

Any safety-relevant edit invalidates that approval and changes both the review hash and idempotency key.

Use scripts/validate-clarification-input.mjs <input.json> when a JSON request is available. The script validates and prints a masked dry-run preview. It never places a call.

Outbound Goal Contract

The outbound goal is to collect answers only for the ordered questions in the source object and return them for human review. CALL-E may state callerIdentity, requestId, and allowedContext. It must not infer other facts, negotiate, make commitments, or expand the question set.

The call is successful when the recipient answers one or more approved questions or explicitly requests a human follow-up. An unanswered required question produces partial, not an invented value.

Source Onboarding

Source access route: local JSON file passed to the bundled Node.js validator.

Source access route discovery result: the repository fixture and validator provide a concrete read-only local route.

Authentication or access check result: passed; the validator read the local fixture successfully.

Sample fetch result: passed; assets/example-request.json produced a valid masked dry-run preview.

Sampled source instance: assets/example-request.json, containing fictional RFQ RFQ-DEMO-1042.

Discovered field mapping: top-level RFQ fields plus ordered questions[].id, questions[].prompt, and questions[].required.

Field mapping confirmed after the representative sample: the validator and example use the same required input contract.

Default goal contract derived from sampled fields: ask the ordered factual questions using only the approved context.

Redaction policy for sample summaries: mask phone numbers and omit credentials, private personal data, and unapproved context.

Runtime parameters still allowed: request JSON path, result CSV path, language, region, deadline, and authenticated CALL-E host runtime.

Provider Onboarding

MCP provider route: https://seleven-mcp-sg.airudder.com/mcp/openagent_oauth

Provider host runtime: blocked until the operator selects and configures an MCP-capable host for the runtime task.

MCP route setup check result: blocked; the required route is not configured by this portable repository package.

Provider authentication check result: blocked; OAuth must be completed in the selected host before a real call.

Compatible MCP provider tools: plan_call, run_call, and get_call_run are unavailable until route onboarding completes.

One-off call capability: blocked; real calls remain disabled until the host verifies plan, run, and status tools.

Provider onboarding blocker: configure the required CALL-E MCP route, complete provider authentication, and verify concrete plan, run, and status tools in the selected host.

The workflow remains dry-run-only while this provider onboarding blocker exists. Route readiness must come from the selected host's MCP setup and authentication checks. It must not use a CLI bootstrap path. Do not treat similarly named app or plugin tools as provider readiness evidence.

Execution Modes

Selected execution mode: dry-run-then-batch-approval

Preview every eligible candidate and compiled call goal, then ask the user to approve the exact pending list. approved-direct-execution is unavailable for this portable skill because its provider and concrete source instances are resolved only at runtime.

Every runtime gate must pass before a real call. A failed source, consent, dedupe, output, route, authentication, tool, or provider-plan check keeps the task in dry-run-only mode.

Workflow

  1. Read references/safety.md.

  2. Validate the required input contract.

  3. Check that the outreach basis applies to this exact recipient and request.

  4. Check that the result target is a writable, new local CSV path and compute the content-bound idempotency key from the full safety contract:

    text
    request + recipient + basis + caller + full questions + allowed context + result path + locale fields
  5. Require a matching safetyReviewHash before reporting the request as dry-run ready.

  6. Reject a duplicate completed or active task with the same idempotency key.

  7. Produce a dry-run preview containing the exact basis, caller identity, masked destination, allowed context, ordered question prompts and categories, forbidden actions, and result path.

  8. Ask the user to approve the exact call preview unless a previously approved runtime contract explicitly covers this exact task.

  9. Discover the authenticated CALL-E tools exposed by the host. Do not invent tool names or parameters.

  10. Prepare one call plan. Inspect it before execution.

  11. Run the plan only when it targets the approved E.164 number and preserves every boundary in the preview.

  12. Check status until the provider reports a terminal result. Reconcile the full available history before finalizing a negative result.

  13. Write the structured result to the approved durable target. Report the masked destination, status, answered question ids, unresolved question ids, and provider run id when safe.

Use this execution shape:

text
validate -> deduplicate -> preview -> approve -> plan -> inspect -> call once -> reconcile -> write result
Show full SKILL.md (757 more words)Show less

Serial Candidate Execution

After execution approval, do not ask the user to continue, confirm the next candidate, or approve additional provider runs. Serially process all ready candidates in the exact approved list.

For each candidate, prepare one provider plan, inspect it, place at most one call, reconcile provider status, and write the durable result before moving to the next candidate. Record a candidate failure or skip and continue unless the provider route, authentication, or result output has become unavailable or continuing would be unsafe.

Provider terminal instructions such as report_result or do not start another call apply only to the current provider run. They prevent duplicate execution of that plan; they do not cancel the remaining approved candidates.

Call Behavior

CALL-E should:

  • identify the caller business and the RFQ or request id
  • ask whether the recipient can discuss the request
  • ask only the approved questions
  • allow the recipient to decline, stop, or ask for a human follow-up
  • repeat an answer only to confirm transcription
  • label uncertain answers as uncertain
  • end the call when the recipient asks to stop

CALL-E must not:

  • invent missing context
  • reveal information outside allowedContext
  • pressure the recipient
  • agree to price, lead time, payment, quality, warranty, liability, or contract terms
  • confirm an order, award, production release, or supplier approval
  • make an unapproved follow-up call

Result Contract

Write one result object:

json
{
  "requestId": "RFQ-DEMO-1042",
  "status": "completed",
  "answered": [
    {
      "questionId": "material-grade",
      "answer": "6061-T6",
      "confidence": "stated-by-recipient"
    }
  ],
  "unresolvedQuestionIds": [],
  "recipientRequestedHumanFollowUp": false,
  "notes": [],
  "providerRunId": "provider-safe-id",
  "completedAt": "2026-07-26T18:00:00Z"
}

Allowed statuses are not-approved, blocked, duplicate, completed, partial, declined, no-answer, and failed.

Do not write a negative terminal result until provider history has been rechecked and the status is stable. Do not store a full phone number, credentials, or an unredacted transcript in the result.

Provider Result Finalization

Terminal provider status is not result-output-ready until the agent performs full-history provider reconciliation without relying only on a cursor-limited status page. For no-answer, failed, or other negative outcomes, also perform a negative terminal stability check.

Finalize one report with run_id, terminal_status_seen, full_history_rechecked, negative_terminal_stability_checked, result_output_allowed, and blocker. Do not write source results, the local result CSV, or a final session table until result_output_allowed is true.

Result-Output Behavior

Result target mode: local-result-csv

Write a new local result CSV at the user-approved runtime path. Never modify the source JSON. Use one row per task with request id, supplier label, masked phone, status, answered question ids, unresolved question ids, human-follow-up flag, provider run id when safe, redacted result summary, and processed timestamp.

Durable result output preference:

  1. Use verified source writeback only when a future bound source explicitly provides a safe update route.
  2. Otherwise use a verified source-adjacent result artifact when the source system supports it.
  3. Default to the approved result-csv-file path for this local JSON source.
  4. Use a session-table only as a last-resort attended fallback, label it non-persistent, and never use it for unattended work.

Validate the output parent, create a new file rather than overwriting an existing result, and never write full phone numbers or credentials.

Failure And Cancellation

  • If authorization, consent, destination, provider authentication, or result output cannot be verified, stop before calling.
  • If the plan differs from the approved preview, discard it and report blocked.
  • If the recipient declines or asks to stop, end the call and report declined.
  • If the user cancels before execution, discard the plan. There is no recurring job to cancel.
  • If a call is in progress, use the provider's supported stop action when available. Do not start a replacement call automatically.
  • A retry is a new real-world side effect and requires a new preview and approval.

Preflight And Creation Summary

Creation-time preflight verified the repository fixture, source schema, masked dry-run validator, and local read-only source access. Provider route setup and authentication are intentionally blocked in this portable package, so the skill remains dry-run-only until runtime onboarding passes.

At runtime, summarize:

  • selected binding level and accepted runtime parameters
  • source instance, access check, field mapping, and sample validation
  • outreach basis, dedupe key, approved goal, and exact pending candidates
  • result target mode, path, schema, and writability
  • provider host, route setup, authentication, compatible tools, and blocker
  • each mandatory runtime gate and whether it passed

Do not claim a call, result write, or onboarding step succeeded without direct evidence.

Safety Summary

The skill requires explicit task authorization, a recipient-specific outreach basis, E.164 validation, masked summaries, bounded questions, minimal disclosed context, idempotent deduplication, one call per approved task, and a durable result path. It creates no recurring schedule and never retries automatically.

Read references/safety.md before runtime. Phone calls remain blocked until every runtime gate passes.

Validation Commands

From the repository root, run:

bash
node skills/forgerelay-supplier-clarification/scripts/validate-clarification-input.mjs skills/forgerelay-supplier-clarification/assets/example-request.json
node skills/forgerelay-supplier-clarification/scripts/check-trust-boundaries.mjs
node skills/outbound-call-skill-creator/scripts/check-generated-skill.mjs --skill-dir skills/forgerelay-supplier-clarification
python3 "$PWD/scripts/validate_repository.py"

Examples

Read references/examples.md for a valid fictional dry run and rejection 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

Files

SKILL.md and 6 other files (scripts, references, assets) in skills/forgerelay-supplier-clarification of CALLE-AI/awesome-phone-call-agents.

  • SKILL.md
  • assets/example-request.json
  • assets/results/.gitkeep
  • references/examples.md
  • references/safety.md
  • scripts/check-trust-boundaries.mjs
  • scripts/validate-clarification-input.mjs

Open the folder on GitHubat commit 38d4118

Compare with similar skills

Forgerelay Supplier Clarification 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.

Forgerelay Supplier Clarification compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Forgerelay Supplier Clarification this skillCALLE-AI/awesome-phone-call-agents107—~3.9kAutomated safety check: PassMIT
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Collection Digestoutline/outline41k—~498Automated safety check: PassCustom licence
Odoo Manufacturing Advisorsickn33/agentic-awesome-skills47k2 repos~1.1kAutomated safety check: PassMIT
Postman Collection Generatorsickn33/agentic-awesome-skills47k1 repos~1.4kAutomated safety check: PassMIT
Dossier Collectruvnet/ruflo74k—~1.1kAutomated safety check: NotesMIT

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Questions about Forgerelay Supplier Clarification

What does Forgerelay Supplier Clarification do?

Use CALL-E to collect missing manufacturing RFQ details from an authorized supplier contact through a bounded, approval-gated phone call, then return structured answers without negotiating or making…. Forgerelay Supplier Clarification is an agent skill from CALLE-AI/awesome-phone-call-agents. Use CALL-E to collect missing manufacturing RFQ details from an authorized supplier contact through a bounded, approval-gated phone call, then return structured answers without negotiating or making commitments.

How do I install Forgerelay Supplier Clarification in Claude Code?

Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill forgerelay-supplier-clarification -a claude-code`. Or copy the skill folder (skills/forgerelay-supplier-clarification in CALLE-AI/awesome-phone-call-agents) into .claude/skills/forgerelay-supplier-clarification in your project. Claude Code loads it when a task matches its description.

How do I install Forgerelay Supplier Clarification in Codex?

Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill forgerelay-supplier-clarification -a codex`. Or copy the skill folder (skills/forgerelay-supplier-clarification in CALLE-AI/awesome-phone-call-agents) into .agents/skills/forgerelay-supplier-clarification in your project. Codex loads it when a task matches its description.

Can I use Forgerelay Supplier Clarification 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 forgerelay-supplier-clarification -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/forgerelay-supplier-clarification, .gemini/skills/forgerelay-supplier-clarification, .github/skills/forgerelay-supplier-clarification and .opencode/skills/forgerelay-supplier-clarification in your project.

What does Forgerelay Supplier Clarification need to run?

Going by SKILL.md and its folder, Forgerelay Supplier Clarification needs JavaScript for the scripts in its folder and the command-line tools its instructions call (node and python3). Our summary lists: Node.js.

Does Forgerelay Supplier Clarification access the network?

SKILL.md names 1 domain. In commands or code: seleven-mcp-sg.airudder.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Forgerelay Supplier Clarification 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 Forgerelay Supplier Clarification use?

Forgerelay Supplier Clarification 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 Forgerelay Supplier Clarification use?

About 3.9k tokens (SKILL.md is roughly 15k 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 1.7k tokens, read only when the agent opens those files.

What are the alternatives to Forgerelay Supplier Clarification?

Skills that share tags, products or a category with Forgerelay Supplier Clarification: Agent Collective Intelligence Coordinator (ruvnet/ruflo, 74k stars), Collection Digest (outline/outline, 41k stars), Odoo Manufacturing Advisor (sickn33/agentic-awesome-skills, 47k stars) and Postman Collection Generator (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Forgerelay Supplier Clarification?

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.