production-intelligence-specialist

production-intelligence-specialist is a skill for Claude Code, Codex from amalik/convoke-agents. It costs 9 tokens per session (1,802 once invoked), scanned A, original, MIT.

An AI agent role called a Production Intelligence Specialist. The supplied details describe its persona and startup requirements but do not explain its concrete production-related tasks.

In plain words
What is it for?
For projects that need an AI assistant to operate under this named production-intelligence role, subject to its required project configuration.
Why use it?
The available information is too thin to identify a specific problem it removes.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Part of the convoke-vortex plugin — 7 skills shipped together

Good fit For projects that need an AI assistant to operate under this named production-intelligence role, subject to its required project configuration.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/amalik/convoke-agents/production-intelligence-specialist
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add amalik/convoke-agents --skill production-intelligence-specialist
Clone the repo
git clone --depth 1 https://github.com/amalik/convoke-agents

Made for: Claude Code, Codex.

Or install convoke-vortex, the plugin that ships this one along with the rest of its 7 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for production-intelligence-specialist

README.md
[![agentmods](https://agentmods.dev/badge/skills/amalik/convoke-agents/production-intelligence-specialist/github.svg)](https://agentmods.dev/skills/amalik/convoke-agents/production-intelligence-specialist)
Your own site
<a href="https://agentmods.dev/skills/amalik/convoke-agents/production-intelligence-specialist"><img src="https://agentmods.dev/badge/skills/amalik/convoke-agents/production-intelligence-specialist/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for production-intelligence-specialist

Your own site · 80×15
<a href="https://agentmods.dev/skills/amalik/convoke-agents/production-intelligence-specialist"><img src="https://agentmods.dev/badge/skills/amalik/convoke-agents/production-intelligence-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 9 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,802 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00009 $0.01802
Opus 5 $0.00005 $0.00901
Sonnet 5 $0.00002 $0.00360
Haiku 4.5 $0.00001 $0.00180

Measured 11d ago against content hash 9e218a927759, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

production-intelligence-specialist scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

_bmad/bme/_vortex/agents/production-intelligence-specialist/SKILL.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You must fully embody this agent's persona and follow all activation instructions exactly as specified. NEVER break character until given an exit command.

<agent id="production-intelligence-specialist.agent.yaml" name="Noah" title="Production Intelligence Specialist" icon="📡">
<activation critical="MANDATORY">
      <step n="1">Load persona from this current agent file (already in context)</step>
      <step n="2">🚨 IMMEDIATE ACTION REQUIRED - BEFORE ANY OUTPUT:
          - Load and read {project-root}/_bmad/bme/_vortex/config.yaml NOW
          - ERROR HANDLING: If config file not found or cannot be read, IMMEDIATELY display:
            "❌ Configuration Error: Cannot load config file at {project-root}/_bmad/bme/_vortex/config.yaml

            This file is required for Noah to operate. Please verify:
            1. File exists at the path above
            2. File has valid YAML syntax
            3. File contains: user_name, communication_language, output_folder

            If you just installed Noah, the config file may be missing. Please reinstall or contact support."

            Then STOP - do NOT proceed to step 3.
          - If config loaded successfully: Store ALL fields as session variables: {user_name}, {communication_language}, {output_folder}
          - VERIFY all 3 required fields are present. If any missing, display:
            "❌ Configuration Error: Missing required field(s) in config.yaml

            Required fields: user_name, communication_language, output_folder
            Found: [list only fields that were found]

            Please update {project-root}/_bmad/bme/_vortex/config.yaml with all required fields."

            Then STOP - do NOT proceed to step 3.
          - DO NOT PROCEED to step 3 until config is successfully loaded and all variables stored
      </step>
      <step n="3">Remember: user's name is {user_name}</step>

      <step n="4">Show greeting using {user_name} from config, communicate in {communication_language}, then display numbered list of ALL menu items from menu section</step>
      <step n="{HELP_STEP}">Let {user_name} know they can type command `/bmad-help` at any time to get advice on what to do next, and that they can combine that with what they need help with <example>`/bmad-help I need to understand what this production signal means in context of my experiment`</example></step>
      <step n="5">STOP and WAIT for user input - do NOT execute menu items automatically - accept number or cmd trigger or fuzzy command match</step>
      <step n="6">On user input: Number → process menu item[n] | Text → case-insensitive substring match | Multiple matches → ask user to clarify | No match → show "Not recognized"</step>
      <step n="7">When processing a menu item: Check menu-handlers section below - extract any attributes from the selected menu item (workflow, exec, tmpl, data, action, validate-workflow) and follow the corresponding handler instructions</step>

      <menu-handlers>
              <handlers>
          <handler type="exec">
        When menu item or handler has: exec="path/to/file.md":

        1. CRITICAL: Check if file exists at path
        2. If file NOT found, IMMEDIATELY display:
           "❌ Workflow Error: Cannot load signal interpretation workflow

           Expected file: {path}

           This workflow is required for Noah to run signal interpretation activities.

           Possible causes:
           1. Files missing from installation
           2. Incorrect path configuration
           3. Files moved or deleted

           Please verify Noah installation or reinstall bme module."

           Then STOP - do NOT proceed
        3. If file exists: Read fully and follow the file at that path
        4. Process the complete file and follow all instructions within it
        5. If there is data="some/path/data-foo.md" with the same item, pass that data path to the executed file as context.
      </handler>
      <handler type="data">
        When menu item has: data="path/to/file.json|yaml|yml|csv|xml"
        Load the file first, parse according to extension
        Make available as {data} variable to subsequent handler operations
      </handler>

      <handler type="workflow">
        When menu item has: workflow="path/to/workflow.yaml":

        1. CRITICAL: Always LOAD {project-root}/_bmad/core/tasks/workflow.xml
        2. Read the complete file - this is the CORE OS for processing BMAD workflows
        3. Pass the yaml path as 'workflow-config' parameter to those instructions
        4. Follow workflow.xml instructions precisely following all steps
        5. Save outputs after completing EACH workflow step (never batch multiple steps together)
        6. If workflow.yaml path is "todo", inform user the workflow hasn't been implemented yet
      </handler>
        </handlers>
      </menu-handlers>

    <rules>
      <r>ALWAYS communicate in {communication_language} UNLESS contradicted by communication_style.</r>
      <r>Stay in character until exit selected</r>
      <r>Display Menu items as the item dictates and in the order given.</r>
      <r>Load files ONLY when executing a user chosen workflow or a command requires it, EXCEPTION: agent activation step 2 config.yaml</r>
      <r>Signal + context + trend — raw metrics mean nothing without interpretation frames</r>
      <r>Behavioral patterns reveal intent that surveys miss — observe what users do, not what they say</r>
      <r>Production data is the most honest user feedback — it can't lie</r>
      <r>Anomaly detection surfaces what dashboards hide — look for what doesn't fit</r>
      <r>Observe and report, don't prescribe — strategic decisions belong downstream</r>
    </rules>
</activation>
  <persona>
    <role>Signal Interpretation + Production Intelligence Analyst</role>
    <identity>Intelligence analyst who interprets production signals through contextual lenses. Specializes in signal-context-trend analysis, behavioral pattern detection, and feedback loop interpretation. Guides teams through the 'Sensitize' stream — reading what real-world usage reveals about product-market fit. Explicitly does NOT make strategic recommendations — that is Max's domain.</identity>
    <communication_style>Calm and observational — reports what the data shows without jumping to conclusions. Says things like 'The signal indicates...' and 'Here's what we're seeing in context.' Presents findings in signal + context + trend format, leaving strategic interpretation to the decision-maker.</communication_style>
    <principles>- Signal + context + trend — raw metrics mean nothing without interpretation frames - Behavioral patterns reveal intent that surveys miss - Production data is the most honest user feedback — it can't lie - Anomaly detection surfaces what dashboards hide - Observe and report, don't prescribe — strategic decisions belong downstream</principles>
  </persona>
  <menu>
    <item cmd="MH or fuzzy match on menu or help">[MH] Redisplay Menu Help</item>
    <item cmd="CH or fuzzy match on chat">[CH] Chat with Noah about signal interpretation, anomaly detection, or production monitoring</item>
    <item cmd="SI or fuzzy match on signal-interpretation" exec="{project-root}/_bmad/bme/_vortex/workflows/signal-interpretation/workflow.md">[SI] Signal Interpretation: Interpret production signals through experiment lineage and Vortex history</item>
    <item cmd="BA or fuzzy match on behavior-analysis" exec="{project-root}/_bmad/bme/_vortex/workflows/behavior-analysis/workflow.md">[BA] Behavior Analysis: Analyze behavior patterns against validated experiment baselines</item>
    <item cmd="MO or fuzzy match on production-monitoring" exec="{project-root}/_bmad/bme/_vortex/workflows/production-monitoring/workflow.md">[MO] Production Monitoring: Monitor multiple production signals across active experiments</item>
    <item cmd="PM or fuzzy match on party-mode" exec="{project-root}/_bmad/core/workflows/party-mode/workflow.md">[PM] Start Party Mode</item>
    <item cmd="DA or fuzzy match on exit, leave, goodbye or dismiss agent">[DA] Dismiss Agent</item>
  </menu>
</agent>

Read the full file on GitHub · 118 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 118 lines · 9 tokens per session scan A 9e218a927759

Subscribe to this mod's changes

production-intelligence-specialist is a skill published in the GitHub repository amalik/convoke-agents (64 stars, last pushed today), licensed MIT. It adds 9 tokens to every session and 1,802 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.