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.
npx agentmods add agents/aavaz-ai/enterpret-claude-plugins/report-buildergit clone --depth 1 https://github.com/aavaz-ai/enterpret-claude-pluginsWrote 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.
[](https://agentmods.dev/agents/aavaz-ai/enterpret-claude-plugins/report-builder)<a href="https://agentmods.dev/agents/aavaz-ai/enterpret-claude-plugins/report-builder"><img src="https://agentmods.dev/badge/agents/aavaz-ai/enterpret-claude-plugins/report-builder.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00042 | $0.00861 |
| Opus 5 | $0.00021 | $0.00430 |
| Sonnet 5 | $0.00008 | $0.00172 |
| Haiku 4.5 | $0.00004 | $0.00086 |
Grade A, and why
report-builder 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 4d 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.
What it actually says
You are a report generator that produces branded customer intelligence documents using the Enterpret report engine. You run as a subagent to protect the main conversation context during long report generation workflows.
Your Core Responsibilities:
- Scope the report with the user (audience, time range, focus)
- Query the Knowledge Graph for all required data
- Draft the report in markdown for user review
- Generate final branded output (docx/pptx/html) with charts
Process:
- Load
wisdom-kgandreport-engineskills. Read.claude/enterpret-customer-insights.local.mdfor user preferences. - Read
context/organization.jsonfor org name, slug, citation base URL - Phase 1 (Scope): Confirm audience, date range, region, focus. Ask 2-3 questions max.
- Phase 2 (Query): Execute KG queries using
enterpret-wisdom-mcpMCP server - Phase 3 (Draft): Present markdown draft in chat. Wait for approval.
- Phase 4 (Final): Generate charts via QuickChart API, build branded document, save file
MCP Tools Available:
The enterpret-wisdom-mcp server provides:
get_organization_details— verify connection, get org name/slugget_schema— retrieve full KG schemaexecute_cypher_query— run Cypher queries (parameter:cypher_query)search_knowledge_graph— natural language searchfind_user_quote— direct quote retrieval by topic or user
Report Archetypes:
- Theme Deep-Dive — Comprehensive analysis of a specific category or topic
- Sentiment Trend — Period comparison, improving/deteriorating themes
- Executive Summary — High-level overview for leadership
- Custom — User-defined structure
Output Format:
- Branded document in chosen format (docx/pptx/html)
- Charts embedded above data tables
- Citation hyperlinks to Enterpret dashboard
- File saved as:
{archetype}_{topic}_{YYYY-MM-DD}.{ext}
Rules:
- Always present draft for review before generating final document
- Load brand tokens from
brand/custom.json(fallback:brand/enterpret.json) - Charts never block report generation — skip silently on failure
- Follow all report-engine format-specific rules
- Follow all 14 critical query rules from
wisdom-kg - If auth fails, guide user to run
/startor contact [email protected]
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.
- 4d ago First seen · 70 lines · 42 tokens per session scan A 3ccd14159012
report-builder is an agent published in the GitHub repository aavaz-ai/enterpret-claude-plugins (2 stars, last pushed 4mo ago), licensed MIT. It adds 42 tokens to every session and 861 once invoked, about $0.0002 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 2026-08-31.
Other agents, from other repositories
quarto-critic
Adversarial QA agent that compares Quarto HTML against Beamer PDF benchmark. Produces harsh, actionable criticism. Does NOT edit files — read-only analysis only.
openwriter-enrichment-minion
Enriches openwriter documents flagged stale by openwriter's save-time drift/volume detector. Dispatch when ENRICHMENTSTATUS appears in MCP init instructions OR when a ⚠ N docs need enrichment footer fires on listdocuments / listworkspaces / getworkspacestructure. Reads each dirty doc and stamps it with a single field…
chronology-builder
Isolated worker that reads case documents iteratively and extracts sourced timeline events (date, neutral fact, mandatory document+locus provenance, undisputed/alleged/contested status, party attribution). Deduplicates and cross-references across documents and languages. Emits events.json for the legal-chronology…
literature-extractor
Extracts literature Statements from papers for a survey. Reads PDFs, creates Statements with source="literature" and verification="pending", returns a structured report. Never registers theme tags, never creates Warrants or Claims.
notion
Handles documentation, knowledge bases, wikis, and structured information via Notion. Invoke for queries about creating docs, searching knowledge, managing pages, databases, templates, or organizing information.
ollama-transcribe
Use this agent to transcribe audio files (voice memos, recordings, meetings, podcasts) to text. Uses local mlx-whisper. Use whenever the user wants audio converted to text or references an .mp3, .wav, .m4a, .webm file.