Borrowing it
Nothing to install: this file belongs to Kemetra/Seshat-BI. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Kemetra/Seshat-BI/main/.claude/skills/report-intent-interview/SKILL.mdgit clone --depth 1 https://github.com/Kemetra/Seshat-BIWrote 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/kemetra/seshat-bi/report-intent-interview)<a href="https://agentmods.dev/skills/kemetra/seshat-bi/report-intent-interview"><img src="https://agentmods.dev/badge/skills/kemetra/seshat-bi/report-intent-interview/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/kemetra/seshat-bi/report-intent-interview"><img src="https://agentmods.dev/badge/skills/kemetra/seshat-bi/report-intent-interview.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 | $0.00192 | $0.01425 |
| Opus 5 | $0.00096 | $0.00713 |
| Sonnet 5 | $0.00038 | $0.00285 |
| Haiku 4.5 | $0.00019 | $0.00143 |
Grade A, and why
report-intent-interview 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 8d 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
report-intent-interview
The Report Intent Interview is the missing front end of the dashboard
intelligence journey (spec 123, US1). It converts a conversational report
request into a committed, reviewable report-intent.yaml so every downstream
artifact (blueprint, composition, preview, audit, PBIR) traces back to a clear,
approved report purpose instead of an unrecorded assumption.
This skill mirrors .claude/skills/business-knowledge-interview/SKILL.md
structurally (load-existing-first, batch/critical question grouping, PII
masking, record + STOP, never self-grant) but does NOT extend it: the
required_inputs and focus differ. Behavior is governed by the contract
contracts/interview/report-intent-interview.yaml; the shape of the produced
artifact is templates/report-intent.yaml. The static rule DL9
(seshat check) verifies the recorded artifact's SHAPE, not the conversation.
When to use
- Someone describes a report they need in plain language ("I need a weekly report for branch managers to spot underperforming branches").
- Before
dashboard-design, the dashboard coordinator, page blueprints, visual specs, or report composition -- those stages trace theirbusiness_questionback to a question declared here (FR-002a) and are blocked until this intent's ownreport_intent_approvaldecision is approved.
Preconditions (stop if unmet)
- Approved metric contracts exist for the subject area (
readiness.status: pass). No approved contract for a metric the request needs => record a gap, route upstream to metric-contract definition, and leave the intent blocked on that metric (FR-004) -- never define the metric here. - The semantic model is ready (
semantic_model_ready: pass). Not ready => stop, name the missing readiness, and do not proceed to design. - Load the existing Report Intent (if any) first. An existing intent is presented for confirmation or supersession -- never silently overwritten.
How it runs
- Ground every question in the request and the approved contracts. Focus on: audience, purpose, supported decision, review cadence, primary business questions, metric roles by name (outcome/driver/guardrail), comparisons, dimensions and filters, expected actions and exceptions, pages/drill paths, mobile/accessibility/language/RTL needs, and exclusions/non-goals.
- Refuse to commit a vague request. "Build an executive dashboard" gets
focused disambiguating questions; the intent is NOT committed until
audience,purpose, and at least one primarybusiness_questionsentry are resolved (US1 AC#4). - Batch the obvious low-risk items into one owner confirmation (e.g. comparison phrasing, filter defaults). Critical decision types are never in a batch. The owner may exclude any item; the remainder is approved in one action and each excluded item becomes an individual pending question.
- Ask critical decisions individually. The intent's own approval
(
report_intent_approval) is a critical decision type, authority classreport_owner(contracts/knowledge/approval-authority.yaml); it requires an explicit, per-decision approval from a named human -- the agent never self-grants it (Principle V). - Reference metrics by name only. Every
outcome_metrics/driver_metrics/guardrail_metricsentry names an approved metric contract (name+store_ref+status_required: pass) -- the same triple shape asdashboard-page-blueprint.yaml'srequired_metric_contracts. There is no formula/DAX field. A metric with no approved contract is a gap: record it, route it upstream, and leave the intentblockedon that metric -- never invent the metric here. - Mask suspected PII by default. Any PII-adjacent dimension/filter follows
the shipped masking behavior; unmasking requires an explicit owner
instruction, recorded as a
pii_handlingdecision. - Record the artifact and the decision. Write
mappings/<subject-area>/design/report-intent.yamlpertemplates/report-intent.yaml, and record thereport_intent_approvaldecision in the project Decision Store once a named human of authority classreport_ownerapproves. Unanswered items staypending/needs_user_input; a metric gap staysblockedwith a matchingblocking_reasonsentry.
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.
- 8d ago First seen · 113 lines · 192 tokens per session scan A ea24ab021cde
report-intent-interview is a skill published in the GitHub repository Kemetra/Seshat-BI (2 stars, last pushed 6d ago), licensed Apache-2.0. It adds 192 tokens to every session and 1,425 once invoked, about $0.0010 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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