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/retail-onboard-table/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/retail-onboard-table)<a href="https://agentmods.dev/skills/kemetra/seshat-bi/retail-onboard-table"><img src="https://agentmods.dev/badge/skills/kemetra/seshat-bi/retail-onboard-table/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/retail-onboard-table"><img src="https://agentmods.dev/badge/skills/kemetra/seshat-bi/retail-onboard-table.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 | $0.00178 | $0.02452 |
| Opus 5 | $0.00089 | $0.01226 |
| Sonnet 5 | $0.00036 | $0.00490 |
| Haiku 4.5 | $0.00018 | $0.00245 |
Grade A, and why
retail-onboard-table 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.
How it starts
The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
retail-onboard-table
The onboarding front door for ONE table's first two readiness stages. The kit
already ships the verb that authors the mapping artifacts (source-mapping) and the
conductor that sequences every verb end-to-end (retail-orchestrate). This skill is
the stage-scoped composition between them: "I have a new raw table -- walk me from
nothing to a reviewed map." It advances Source Ready -> Mapping Ready, seeds the
per-table readiness-status.yaml, and STOPS. It is a procedure the agent performs
(agent-first, Principle I); seshat check and the read-only profile are gates it
CALLS, not a CLI subcommand.
Scope boundary (read first)
- Agent-first, no CLI. This is a SKILL the agent runs; it adds no
retailsubcommand and no Python. - ENTERS at Source Ready, EXITS at Mapping Ready. The terminal state is Mapping
Ready -- the three gate artifacts committed and either
mapping_ready: blocked(review pending, the common case) ormapping_ready: pass(only after a HUMAN has recorded approval). Both are successful wizard runs. - NEVER crosses into Silver Ready (Principle IV, roadmap rule #2). It writes no
silver.*SQL, no migration, and never callsretail-build-warehouse. Its last action is to seed/update the readiness-status, state the next allowed action, and STOP. - NEVER self-grants approval or invents a judgment call (Principle V). The four
reserved seams -- grain, PII publish-safety, business rollup/segment, product
identity -- are PROPOSED with a data fact and raised as
unresolved-questions.mdrows; the wizard stops there. - No fake confidence. Readiness is the four explicit statuses
(
not_started|blocked|warning|pass) +evidence[]+blocking_reasons[]. No numeric score (roadmap rule #9). - Delegates mapping; does not duplicate it. Stage 2 invokes
source-mappingto author the five artifacts. This skill owns the WALK and the readiness bookkeeping, not the mapping procedure. - ASCII only, UTF-8 no BOM (
->arrows,'' OR NULL).
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.
- 11d ago First seen · 175 lines · 178 tokens per session scan A b2c50eb0f866
retail-onboard-table is a skill published in the GitHub repository Kemetra/Seshat-BI (2 stars, last pushed 2d ago), licensed Apache-2.0. It adds 178 tokens to every session and 2,452 once invoked, about $0.0009 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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