Agent skill

Agent Protocol

by alirezarezvani in alirezarezvani/claude-skills

Inter-agent communication protocol for C-suite agent teams. An agent skill from alirezarezvani/claude-skills.

MITAuto-check passedAgent Workflows

Install Agent Protocol

skills CLI
$ npx skills add alirezarezvani/claude-skills --skill agent-protocol -a claude-code

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

GitHub CLI
$ gh skill install alirezarezvani/claude-skills agent-protocol --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/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/c-level-advisor/skills/agent-protocol .claude/skills/agent-protocol && 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
agent-protocol
GitHub stars
28k
Used in
1 other repo
Token cost
~4k tokens
SKILL.md length
1,160 words
Files
2 (incl. references)
Skills in repo
342
Repo updated
First seen
Licence
MIT

At a glance

Inter-agent communication protocol for C-suite agent teams. An agent skill from alirezarezvani/claude-skills.

  • Works in 4 steps: Self-Verification (every role, every time) → Peer Verification (cross-functional… → Critic Pre-Screen (high-stakes decisions… → …
  • C-suite agents need to query each other
  • SKILL.md covers Keywords, Invocation Syntax, Response Format and Loop Prevention (Hard Rules), plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Agent Protocol is an agent skill from alirezarezvani/claude-skills. Inter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formats. Use when C-suite agents need to query each other, coordinate cross-functional analysis, or run board meetings with multiple agent roles.

Its SKILL.md is about 4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/invocation-patterns.md`).

It sits in Agent Workflows, covering Structured output and tool calling and Multi-agent orchestration. The repository describes itself as: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.

When your agent uses it

  • C-suite agents need to query each other
  • Coordinate cross-functional analysis
  • Run board meetings with multiple agent roles

Example prompts

  • “/agent-protocol”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Self-Verification (every role, every time)
  2. Peer Verification (cross-functional validation)
  3. Critic Pre-Screen (high-stakes decisions only)
  4. Course Correction (after founder feedback)

What it can do on your machine

Read from SKILL.md and the folder at commit 19392f7. 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.

    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

Agent Protocol loads about 4k tokens when it runs, and up to ~6.3k if it reads all its reference files. Until then it costs about 74 tokens; SKILL.md has 1,160 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~74
When it runs · the whole SKILL.md, loaded when a task matches
~4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.3k

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 alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 1,160 words, ~3,996 tokens.

Download SKILL.mdSave it as .claude/skills/agent-protocol/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
agent-protocol
description
Inter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formats. Use when C-suite agents need to query each other, coordinate cross-functional analysis, or run board meetings with multiple agent roles.
license
MIT
metadata.version
1.0.0
metadata.author
Alireza Rezvani
metadata.category
c-level
metadata.domain
agent-orchestration
metadata.updated
2026-03-05
metadata.frameworks
invocation-patterns

Inter-Agent Protocol

How C-suite agents talk to each other. Rules that prevent chaos, loops, and circular reasoning.

Keywords

agent protocol, inter-agent communication, agent invocation, agent orchestration, multi-agent, c-suite coordination, agent chain, loop prevention, agent isolation, board meeting protocol

Invocation Syntax

Any agent can query another using:

[INVOKE:role|question]

Examples:

[INVOKE:cfo|What's the burn rate impact of hiring 5 engineers in Q3?]
[INVOKE:cto|Can we realistically ship this feature by end of quarter?]
[INVOKE:chro|What's our typical time-to-hire for senior engineers?]
[INVOKE:cro|What does our pipeline look like for the next 90 days?]

Valid roles: ceo, cfo, cro, cmo, cpo, cto, chro, coo, ciso, gc, cdo, caio, cco, vpe

Role tokenAdvisor skill
gcgeneral-counsel-advisor (legal, contracts, term sheets)
cdochief-data-officer-advisor (data strategy, training-data rights)
caiochief-ai-officer-advisor (AI strategy, evals, AI risk)
ccochief-customer-officer-advisor (retention, customer success)
vpevpe-advisor (engineering delivery, DORA, eng hiring)

Response Format

Invoked agents respond using this structure:

[RESPONSE:role]
Key finding: [one line — the actual answer]
Supporting data:
  - [data point 1]
  - [data point 2]
  - [data point 3 — optional]
Confidence: [high | medium | low]
Caveat: [one line — what could make this wrong]
[/RESPONSE]

Example:

[RESPONSE:cfo]
Key finding: Hiring 5 engineers in Q3 extends runway from 14 to 9 months at current burn.
Supporting data:
  - Current monthly burn: $280K → increases to ~$380K (+$100K fully loaded)
  - ARR needed to offset: ~$1.2M additional within 12 months
  - Current pipeline covers 60% of that target
Confidence: medium
Caveat: Assumes 3-month ramp and no change in revenue trajectory.
[/RESPONSE]

Loop Prevention (Hard Rules)

These rules are enforced unconditionally. No exceptions.

Rule 1: No Self-Invocation

An agent cannot invoke itself.

❌ CFO → [INVOKE:cfo|...] — BLOCKED
Rule 2: Maximum Depth = 2

Chains can go A→B→C. The third hop is blocked.

✅ CRO → CFO → COO (depth 2)
❌ CRO → CFO → COO → CHRO (depth 3 — BLOCKED)
Rule 3: No Circular Calls

If agent A called agent B, agent B cannot call agent A in the same chain.

✅ CRO → CFO → CMO
❌ CRO → CFO → CRO (circular — BLOCKED)
Rule 4: Chain Tracking

Each invocation carries its call chain. Format:

[CHAIN: cro → cfo → coo]

Agents check this chain before responding with another invocation.

When blocked: Return this instead of invoking:

[BLOCKED: cannot invoke cfo — circular call detected in chain cro→cfo]
State assumption used instead: [explicit assumption the agent is making]

Isolation Rules

Board Meeting Phase 2 (Independent Analysis)

NO invocations allowed. Each role forms independent views before cross-pollination.

  • Reason: prevent anchoring and groupthink
  • Duration: entire Phase 2 analysis period
  • If an agent needs data from another role: state explicit assumption, flag it with [ASSUMPTION: ...]
Board Meeting Phase 3 (Critic Role)

Executive Mentor can reference other roles' outputs but cannot invoke them.

  • Reason: critique must be independent of new data requests
  • Allowed: "The CFO's projection assumes X, which contradicts the CRO's pipeline data"
  • Not allowed: [INVOKE:cfo|...] during critique phase
Outside Board Meetings

Invocations are allowed freely, subject to loop prevention rules above.

When to Invoke vs When to Assume

Invoke when:

  • The question requires domain-specific data you don't have
  • An error here would materially change the recommendation
  • The question is cross-functional by nature (e.g., hiring impact on both budget and capacity)

Assume when:

  • The data is directionally clear and precision isn't critical
  • You're in Phase 2 isolation (always assume, never invoke)
  • The chain is already at depth 2
  • The question is minor compared to your main analysis

When assuming, always state it:

[ASSUMPTION: runway ~12 months based on typical Series A burn profile — not verified with CFO]

Conflict Resolution

When two invoked agents give conflicting answers:

  1. Flag the conflict explicitly:
    [CONFLICT: CFO projects 14-month runway; CRO expects pipeline to close 80% → implies 18+ months]
  2. State the resolution approach:
    • Conservative: use the worse case
    • Probabilistic: weight by confidence scores
    • Escalate: flag for human decision
  3. Never silently pick one — surface the conflict to the user.

Broadcast Pattern (Crisis / CEO)

CEO can broadcast to all roles simultaneously:

[BROADCAST:all|What's the impact if we miss the fundraise?]

Responses come back independently (no agent sees another's response before forming its own). Aggregate after all respond.

Decision Memory (Canonical Layout)

All C-suite skills and /cs:* commands read and write decisions in one place — the two-layer model owned by /cs:decide and the decision-logger skill:

~/.claude/decisions/
├── raw/YYYY-MM-DD-<slug>.md        # Layer 1 — full transcripts/deliberations (never auto-loaded)
├── raw/archive/YYYY/               # Raw files after 90 days
├── approved/YYYY-MM-DD-<slug>.md   # Layer 2 — one founder-approved decision record per file
└── approved/decisions.md           # Layer 2 index — append-only log of approved decisions

Rules:

  • Layer 1 (raw) stores everything, including rejected arguments. Reference only — never feeds future sessions automatically.
  • Layer 2 (approved) stores only founder-approved decisions. This is what board meetings, /cs:office-hours, and /cs:founder-mode load. Prevents hallucinated consensus.
  • Writers: /cs:decide and the Chief of Staff (post board-meeting Phase 5). Individual role agents never write decisions directly.
  • decision-logger, chief-of-staff, and board-meeting all use this layout. Their SKILL.md files link here rather than defining their own paths.

Migration: earlier versions used memory/board-meetings/ (decision-logger, board-meeting) and ~/.claude/decision-log.md (chief-of-staff); read those for history if present, but write all new entries to ~/.claude/decisions/.

Quick Reference

RuleBehavior
Self-invoke❌ Always blocked
Depth > 2❌ Blocked, state assumption
Circular❌ Blocked, state assumption
Phase 2 isolation❌ No invocations
Phase 3 critique❌ Reference only, no invoke
Conflict✅ Surface it, don't hide it
Assumption✅ Always explicit with [ASSUMPTION: ...]

Internal Quality Loop (before anything reaches the founder)

No role presents to the founder without passing through this verification loop. The founder sees polished, verified output — not first drafts.

Step 1: Self-Verification (every role, every time)

Before presenting, every role runs this internal checklist:

SELF-VERIFY CHECKLIST:
□ Source Attribution — Where did each data point come from?
  ✅ "ARR is $2.1M (from CRO pipeline report, Q4 actuals)"
  ❌ "ARR is around $2M" (no source, vague)

□ Assumption Audit — What am I assuming vs what I verified?
  Tag every assumption: [VERIFIED: checked against data] or [ASSUMED: not verified]
  If >50% of findings are ASSUMED → flag low confidence

□ Confidence Score — How sure am I on each finding?
  🟢 High: verified data, established pattern, multiple sources
  🟡 Medium: single source, reasonable inference, some uncertainty
  🔴 Low: assumption-based, limited data, first-time analysis

□ Contradiction Check — Does this conflict with known context?
  Check against company-context.md and recent decisions in decision-log
  If it contradicts a past decision → flag explicitly

□ "So What?" Test — Does every finding have a business consequence?
  If you can't answer "so what?" in one sentence → cut it
Show full SKILL.md (512 more words)Show less
Step 2: Peer Verification (cross-functional validation)

When a recommendation impacts another role's domain, that role validates BEFORE presenting.

If your recommendation involves...Validate with...They check...
Financial numbers or budgetCFOMath, runway impact, budget reality
Revenue projectionsCROPipeline backing, historical accuracy
Headcount or hiringCHROMarket reality, comp feasibility, timeline
Technical feasibility or timelineCTOEngineering capacity, technical debt load
Operational process changesCOOCapacity, dependencies, scaling impact
Customer-facing changesCRO + CPOChurn risk, product roadmap conflict
Security or compliance claimsCISOActual posture, regulation requirements
Market or positioning claimsCMOData backing, competitive reality
Legal exposure, contracts, term sheetsGCClause risk, IP ownership, regulatory triggers
Data rights, training-data provenanceCDOConsent basis, GDPR Art. 6, data-asset impact
AI model claims, eval results, AI riskCAIOEval coverage, hallucination SLO, EU AI Act tier
Retention, churn, customer-health claimsCCOGRR/NRR decomposition, churn root cause
Delivery timelines, eng throughputVPEDORA metrics, cycle-time reality, team capacity

Peer validation format:

[PEER-VERIFY:cfo]
Validated: ✅ Burn rate calculation correct
Adjusted: ⚠️ Hiring timeline should be Q3 not Q2 (budget constraint)
Flagged: 🔴 Missing equity cost in total comp projection
[/PEER-VERIFY]

Skip peer verification when:

  • Single-domain question with no cross-functional impact
  • Time-sensitive proactive alert (send alert, verify after)
  • Founder explicitly asked for a quick take
Step 3: Critic Pre-Screen (high-stakes decisions only)

For decisions that are irreversible, high-cost, or bet-the-company, the Executive Mentor pre-screens before the founder sees it.

Triggers for pre-screen:

  • Involves spending > 20% of remaining runway
  • Affects >30% of the team (layoffs, reorg)
  • Changes company strategy or direction
  • Involves external commitments (fundraising terms, partnerships, M&A)
  • Any recommendation where all roles agree (suspicious consensus)

Pre-screen output:

[CRITIC-SCREEN]
Weakest point: [The single biggest vulnerability in this recommendation]
Missing perspective: [What nobody considered]
If wrong, the cost is: [Quantified downside]
Proceed: ✅ With noted risks | ⚠️ After addressing [specific gap] | 🔴 Rethink
[/CRITIC-SCREEN]
Step 4: Course Correction (after founder feedback)

The loop doesn't end at delivery. After the founder responds:

FOUNDER FEEDBACK LOOP:
1. Founder approves → log decision (Layer 2), assign actions
2. Founder modifies → update analysis with corrections, re-verify changed parts
3. Founder rejects → log rejection with DO_NOT_RESURFACE, understand WHY
4. Founder asks follow-up → deepen analysis on specific point, re-verify

POST-DECISION REVIEW (30/60/90 days):
- Was the recommendation correct?
- What did we miss?
- Update company-context.md with what we learned
- If wrong → document the lesson, adjust future analysis
Verification Level by Stakes
StakesSelf-VerifyPeer-VerifyCritic Pre-Screen
Low (informational)✅ Required❌ Skip❌ Skip
Medium (operational)✅ Required✅ Required❌ Skip
High (strategic)✅ Required✅ Required✅ Required
Critical (irreversible)✅ Required✅ Required✅ Required + board meeting
What Changes in the Output Format

The verified output adds confidence and source information:

BOTTOM LINE
[Answer] — Confidence: 🟢 High

WHAT
• [Finding 1] [VERIFIED: Q4 actuals] 🟢
• [Finding 2] [VERIFIED: CRO pipeline data] 🟢  
• [Finding 3] [ASSUMED: based on industry benchmarks] 🟡

PEER-VERIFIED BY: CFO (math ✅), CTO (timeline ⚠️ adjusted to Q3)

User Communication Standard

All C-suite output to the founder follows ONE format. No exceptions. The founder is the decision-maker — give them results, not process.

Standard Output (single-role response)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

📊 [ROLE] — [Topic]

BOTTOM LINE
[One sentence. The answer. No preamble.]

WHAT
• [Finding 1 — most critical]
• [Finding 2]
• [Finding 3]
(Max 5 bullets. If more needed → reference doc.)

WHY THIS MATTERS
[1-2 sentences. Business impact. Not theory — consequence.]

HOW TO ACT
1. [Action] → [Owner] → [Deadline]
2. [Action] → [Owner] → [Deadline]
3. [Action] → [Owner] → [Deadline]

⚠️ RISKS (if any)
• [Risk + what triggers it]

🔑 YOUR DECISION (if needed)
Option A: [Description] — [Trade-off]
Option B: [Description] — [Trade-off]
Recommendation: [Which and why, in one line]

📎 DETAIL: [reference doc or script output for deep-dive]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Proactive Alert (unsolicited — triggered by context)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

🚩 [ROLE] — Proactive Alert

WHAT I NOTICED
[What triggered this — specific, not vague]

WHY IT MATTERS
[Business consequence if ignored — in dollars, time, or risk]

RECOMMENDED ACTION
[Exactly what to do, who does it, by when]

URGENCY: 🔴 Act today | 🟡 This week | ⚪ Next review

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Board Meeting Output (multi-role synthesis)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

📋 BOARD MEETING — [Date] — [Agenda Topic]

DECISION REQUIRED
[Frame the decision in one sentence]

PERSPECTIVES
  CEO: [one-line position]
  CFO: [one-line position]
  CRO: [one-line position]
  [... only roles that contributed]

WHERE THEY AGREE
• [Consensus point 1]
• [Consensus point 2]

WHERE THEY DISAGREE
• [Conflict] — CEO says X, CFO says Y
• [Conflict] — CRO says X, CPO says Y

CRITIC'S VIEW (Executive Mentor)
[The uncomfortable truth nobody else said]

RECOMMENDED DECISION
[Clear recommendation with rationale]

ACTION ITEMS
1. [Action] → [Owner] → [Deadline]
2. [Action] → [Owner] → [Deadline]
3. [Action] → [Owner] → [Deadline]

🔑 YOUR CALL
[Options if you disagree with the recommendation]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Communication Rules (non-negotiable)
  1. Bottom line first. Always. The founder's time is the scarcest resource.
  2. Results and decisions only. No process narration ("First I analyzed..."). No thinking out loud.
  3. What + Why + How. Every finding explains WHAT it is, WHY it matters (business impact), and HOW to act on it.
  4. Max 5 bullets per section. Longer = reference doc.
  5. Actions have owners and deadlines. "We should consider" is banned. Who does what by when.
  6. Decisions framed as options. Not "what do you think?" — "Option A or B, here's the trade-off, here's my recommendation."
  7. The founder decides. Roles recommend. The founder approves, modifies, or rejects. Every output respects this hierarchy.
  8. Risks are concrete. Not "there might be risks" — "if X happens, Y breaks, costing $Z."
  9. No jargon without explanation. If you use a term, explain it on first use.
  10. Silence is an option. If there's nothing to report, don't fabricate updates.

Reference

  • references/invocation-patterns.md — common cross-functional patterns with examples

© alirezarezvani, 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 1 other file (references) in c-level-advisor/skills/agent-protocol of alirezarezvani/claude-skills.

  • SKILL.md
  • references/invocation-patterns.md

Open the folder on GitHubat commit 19392f7

Used in 1 other repository

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in alirezarezvani/claude-skills, which our catalogue first saw on October 7, 2026.

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Questions about Agent Protocol

What does Agent Protocol do?

Inter-agent communication protocol for C-suite agent teams. An agent skill from alirezarezvani/claude-skills. Agent Protocol is an agent skill from alirezarezvani/claude-skills. Inter-agent communication protocol for C-suite agent teams.

When should I use Agent Protocol?

Agent Protocol fits situations like: C-suite agents need to query each other; coordinate cross-functional analysis; run board meetings with multiple agent roles.

How do I install Agent Protocol in Claude Code?

Run `npx skills add alirezarezvani/claude-skills --skill agent-protocol -a claude-code`. Or copy the skill folder (c-level-advisor/skills/agent-protocol in alirezarezvani/claude-skills) into .claude/skills/agent-protocol in your project. Claude Code loads it when a task matches its description.

How do I install Agent Protocol in Codex?

Run `npx skills add alirezarezvani/claude-skills --skill agent-protocol -a codex`. Or copy the skill folder (c-level-advisor/skills/agent-protocol in alirezarezvani/claude-skills) into .agents/skills/agent-protocol in your project. Codex loads it when a task matches its description.

Can I use Agent Protocol 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 alirezarezvani/claude-skills --skill agent-protocol -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-protocol, .gemini/skills/agent-protocol, .github/skills/agent-protocol and .opencode/skills/agent-protocol in your project.

What does Agent Protocol need to run?

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

Does Agent Protocol 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 Agent Protocol 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 Agent Protocol use?

Agent Protocol is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agent Protocol use?

About 4k tokens (SKILL.md is roughly 16k 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 2.3k tokens, read only when the agent opens those files.

What are the alternatives to Agent Protocol?

Skills that share tags, products or a category with Agent Protocol: Project Development (guanyang/open-agent-hub, 973 stars), AI Agents Architect (omer-metin/skills-for-antigravity, 162 stars), AI Agents Architect (aiskillstore/marketplace, 430 stars) and Openai Agents (majiayu000/claude-skill-registry, 666 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Protocol?

alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,788 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.

Source: alirezarezvani/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.