Agent Collective Intelligence Coordinator
ruvnet/ruflo
Agent skill for collective-intelligence-coordinator - invoke with $agent-collective-intelligence-coordinator
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…
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill forgerelay-supplier-clarification -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents forgerelay-supplier-clarification --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/forgerelay-supplier-clarification .claude/skills/forgerelay-supplier-clarification && 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 "forgerelay-supplier-clarification" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/forgerelay-supplier-clarification into .claude/skills/forgerelay-supplier-clarification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "forgerelay-supplier-clarification", 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/forgerelay-supplier-clarificationType 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 forgerelay-supplier-clarification -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents forgerelay-supplier-clarification --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/forgerelay-supplier-clarification .agents/skills/forgerelay-supplier-clarification && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "forgerelay-supplier-clarification" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/forgerelay-supplier-clarification into .agents/skills/forgerelay-supplier-clarification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "forgerelay-supplier-clarification", 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 forgerelay-supplier-clarification -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents forgerelay-supplier-clarification --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/forgerelay-supplier-clarification .cursor/skills/forgerelay-supplier-clarification && 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 "forgerelay-supplier-clarification" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/forgerelay-supplier-clarification into .cursor/skills/forgerelay-supplier-clarification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "forgerelay-supplier-clarification", 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/forgerelay-supplier-clarification--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 forgerelay-supplier-clarification -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents forgerelay-supplier-clarification --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/forgerelay-supplier-clarification .gemini/skills/forgerelay-supplier-clarification && 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 "forgerelay-supplier-clarification" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/forgerelay-supplier-clarification into .gemini/skills/forgerelay-supplier-clarification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "forgerelay-supplier-clarification", 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 forgerelay-supplier-clarificationInstalls 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 forgerelay-supplier-clarification -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/forgerelay-supplier-clarification .github/skills/forgerelay-supplier-clarification && 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 "forgerelay-supplier-clarification" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/forgerelay-supplier-clarification into .github/skills/forgerelay-supplier-clarification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "forgerelay-supplier-clarification", 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 forgerelay-supplier-clarification -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 forgerelay-supplier-clarification --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/forgerelay-supplier-clarification .opencode/skills/forgerelay-supplier-clarification && 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 "forgerelay-supplier-clarification" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/forgerelay-supplier-clarification into .opencode/skills/forgerelay-supplier-clarification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "forgerelay-supplier-clarification", 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.
forgerelay-supplier-clarificationUse 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.
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.
12 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 2 files in scripts/ (JavaScript), which the agent can run.
Shell commands in SKILL.md call:
nodepython3From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
seleven-mcp-sg.airudder.comFrom 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.
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.
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). 1,925 words, ~3,870 tokens.
.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.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:
Do not use this skill to:
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 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.
Require all of these fields before preparing a call:
requestId: stable RFQ or task identifiersupplierLabel: non-sensitive recipient or organization labelphoneNumber: authorized E.164 destinationoutreachBasis: structured, recipient-specific contact basis with type and referencecallerIdentity: business identity CALL-E should statequestions: one to eight bounded clarification questionsallowedContext: facts CALL-E may disclose during the callresultTarget: durable destination for the structured resultEach question must have:
id: stable lowercase identifiercategory: one allowed factual categoryprompt: one factual questionrequired: booleanAllowed 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:
{
"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.
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 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.
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.
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.
Read references/safety.md.
Validate the required input contract.
Check that the outreach basis applies to this exact recipient and request.
Check that the result target is a writable, new local CSV path and compute the content-bound idempotency key from the full safety contract:
request + recipient + basis + caller + full questions + allowed context + result path + locale fieldsRequire a matching safetyReviewHash before reporting the request as dry-run ready.
Reject a duplicate completed or active task with the same idempotency key.
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.
Ask the user to approve the exact call preview unless a previously approved runtime contract explicitly covers this exact task.
Discover the authenticated CALL-E tools exposed by the host. Do not invent tool names or parameters.
Prepare one call plan. Inspect it before execution.
Run the plan only when it targets the approved E.164 number and preserves every boundary in the preview.
Check status until the provider reports a terminal result. Reconcile the full available history before finalizing a negative result.
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:
validate -> deduplicate -> preview -> approve -> plan -> inspect -> call once -> reconcile -> write resultAfter 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-E should:
CALL-E must not:
allowedContextWrite one result object:
{
"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.
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 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:
result-csv-file path for this local JSON source.Validate the output parent, create a new file rather than overwriting an existing result, and never write full phone numbers or credentials.
blocked.declined.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:
Do not claim a call, result write, or onboarding step succeeded without direct evidence.
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.
From the repository root, run:
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"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
SKILL.md and 6 other files (scripts, references, assets) in skills/forgerelay-supplier-clarification of CALLE-AI/awesome-phone-call-agents.
Open the folder on GitHubat commit 38d4118
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Forgerelay Supplier Clarification this skillCALLE-AI/awesome-phone-call-agents | 107 | — | ~3.9k | Automated safety check: Pass | MIT | |
| Agent Collective Intelligence Coordinatorruvnet/ruflo | 74k | 2 repos | ~1k | Automated safety check: Pass | MIT | |
| Collection Digestoutline/outline | 41k | — | ~498 | Automated safety check: Pass | Custom licence | |
| Odoo Manufacturing Advisorsickn33/agentic-awesome-skills | 47k | 2 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Postman Collection Generatorsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Dossier Collectruvnet/ruflo | 74k | — | ~1.1k | Automated safety check: Notes | MIT |
ruvnet/ruflo
Agent skill for collective-intelligence-coordinator - invoke with $agent-collective-intelligence-coordinator
outline/outline
Summarize what changed in an Outline collection since a date; use when the user asks what is new, what was updated, or wants a digest of recent documents.
sickn33/agentic-awesome-skills
Expert guide for Odoo Manufacturing: Bills of Materials (BoM), Work Centers, routings, MRP planning, and production order workflows.
sickn33/agentic-awesome-skills
Generate complete, import-ready Postman Collection v2.1 JSON files from natural language API descriptions or cURL commands.
ruvnet/ruflo
Build a graph-structured dossier on a seed entity via parallel fan-out + recursive expansion across web, memory, knowledge-graph, codebase, ADR index, and git intel
asgeirtj/system_prompts_leaks
Clarify a material user-owned product decision before substantive implementation commitments.
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…
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.