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 skills add aavaz-ai/enterpret-claude-plugins --skill wisdom-kggit 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/skills/aavaz-ai/enterpret-claude-plugins/wisdom-kg)<a href="https://agentmods.dev/skills/aavaz-ai/enterpret-claude-plugins/wisdom-kg"><img src="https://agentmods.dev/badge/skills/aavaz-ai/enterpret-claude-plugins/wisdom-kg/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.
<a href="https://agentmods.dev/skills/aavaz-ai/enterpret-claude-plugins/wisdom-kg"><img src="https://agentmods.dev/badge/skills/aavaz-ai/enterpret-claude-plugins/wisdom-kg.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00061 | $0.03855 |
| Opus 5 | $0.00030 | $0.01928 |
| Sonnet 5 | $0.00012 | $0.00771 |
| Haiku 4.5 | $0.00006 | $0.00385 |
Grade A, and why
wisdom-kg 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 376 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Wisdom Knowledge Graph — Query Guide
Organization Context
Organization details are loaded from context/organization.json (created during onboarding). This file contains:
- name — Organization display name (e.g., "Acme Corp")
- slug — URL slug (e.g., "acme-corp")
- dashboardUrl — Base URL to the Enterpret dashboard
- citationBaseUrl — Base URL for record citation links
- taxonomy.l1Categories — Top-level categories with volume
- taxonomy.themeCategories — Theme types (COMPLAINT, HELP, PRAISE, IMPROVEMENT, etc.)
If context/organization.json does not exist, tell the user to run /start for first-time setup.
Session Setup
Run get_organization_details as a pre-flight check at session start. Cache the org details and schema once — never re-query per command.
User Context
Check for .claude/enterpret-customer-insights.local.md — if it exists, parse YAML frontmatter for user preferences (name, role, team, focus, output_style, brand_colors, company_name, language).
If the file does not exist, assume a Product Manager persona: focused on customer experience and product operations, wants structured evidence-based output, cares about CSAT/DSAT/volume trends, produces weekly VOC reports. Frame recommendations as product decisions, not abstract findings.
Search Before Query
ALWAYS use search_knowledge_graph before writing Cypher when the user mentions a specific feature, issue, or topic. User language rarely matches taxonomy labels.
Search with 2-3 keyword variations:
- The user's exact words
- Synonyms or related terms
- More specific sub-topics
Use the EXACT theme/subtheme names returned by search in Cypher queries. Never guess taxonomy names.
Time Window Conventions
| Context | Default Window | Rationale |
|---|---|---|
| Trend analysis / weekly brief | 30 days | Enough for WoW comparison with context |
| Urgency / escalation scan | 48 hours – 7 days | Recent spikes matter more |
| Strategic evidence (PRDs, competitive) | 90 days | Full quarter for sizing |
| Post-launch comparison | 30/30 (30 pre, 30 post) | Clean A/B period |
| WoW comparison | Current 7d vs prior 7d | Standard week-over-week |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 376 lines · 61 tokens per session scan A ceef63755777
wisdom-kg is a skill published in the GitHub repository aavaz-ai/enterpret-claude-plugins (2 stars, last pushed 5mo ago), licensed MIT. It adds 61 tokens to every session and 3,855 once invoked, about $0.0003 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.
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