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 rpraharaj/forward-deployed-engineer --skill data-archaeologygit clone --depth 1 https://github.com/rpraharaj/forward-deployed-engineerWrote 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/rpraharaj/forward-deployed-engineer/data-archaeology)<a href="https://agentmods.dev/skills/rpraharaj/forward-deployed-engineer/data-archaeology"><img src="https://agentmods.dev/badge/skills/rpraharaj/forward-deployed-engineer/data-archaeology.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 5.1 | $0.00111 | $0.02002 |
| Opus 5 | $0.00056 | $0.01001 |
| Sonnet 5 | $0.00022 | $0.00400 |
| Haiku 4.5 | $0.00011 | $0.00200 |
Grade A, and why
data-archaeology 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 — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data archaeology
Working out what the data actually means.
Why this exists
In a system of any age the schema is an unreliable narrator. Columns are nullable that are never null, and non-nullable columns hold empty strings meaning "unknown." Enums contain values the code stopped writing four years ago. A column named status holds three different vocabularies depending on when the row was created. Foreign keys are declared in some places and merely implied in others.
None of this is in the documentation, because there isn't any. It is discoverable from two sources: the queries the code actually issues, which reveal intended meaning, and the data itself, which reveals what happened.
The gap between them is where migrations fail and reports go quietly wrong.
When this applies
- Undocumented schema or unclear domain model
- Before a migration, a reporting change, or a schema change
- Column names that don't match their contents
- You need to know what the data looks like, not what the schema permits
- Before
data-pipeline-workordb-change-management
When it doesn't
- Well-documented schema with a maintained model
- You need control flow rather than data — that's
trace-the-flow - You need current row-level values for testing — that's
test-data-strategy
Prerequisites
- Locate the workspace:
FDE_WORKSPACE, else the charter's Location, else.fde/, else../<repo>-fde/. Do not invent a second workspace. .fde/02-system-map.md— where data lives- Read access to a database, ideally. Where you have none, this skill still works from migrations and code, at reduced confidence — say so.
- Understand the organization's data policy before running aggregates. Shape queries live in core
test-data-strategystep 2 — run those, do not paste a second dialect-specific copy.
Procedure
1. Reconstruct the declared schema
# Migrations, in order, are the schema's history
find . \( -path "*migration*" -o -path "*/db/*" \) -name "*.sql" | sort | tail -40
# ORM / schema declarations — bind EXT from the language mix, do not assume one framework
grep -rn "CREATE TABLE\|Schema(\|DbSet\|entity-name" --include="*.$EXT" --include="*.sql" --include="*.xml" . | head -30
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 · 166 lines · 111 tokens per session scan A 02e1186fd0ba
data-archaeology is a skill published in the GitHub repository rpraharaj/forward-deployed-engineer (6 stars, last pushed 21d ago), licensed MIT. It adds 111 tokens to every session and 2,002 once invoked, about $0.0006 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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