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 Kshitijpalsinghtomar/depth-skills --skill ds-excavategit clone --depth 1 https://github.com/Kshitijpalsinghtomar/depth-skillsWrote 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/kshitijpalsinghtomar/depth-skills/ds-excavate)<a href="https://agentmods.dev/skills/kshitijpalsinghtomar/depth-skills/ds-excavate"><img src="https://agentmods.dev/badge/skills/kshitijpalsinghtomar/depth-skills/ds-excavate/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/kshitijpalsinghtomar/depth-skills/ds-excavate"><img src="https://agentmods.dev/badge/skills/kshitijpalsinghtomar/depth-skills/ds-excavate.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 | $0.00038 | $0.04077 |
| Opus 5.5 | $0.00015 | $0.01631 |
| Sonnet 5.5 | $0.00008 | $0.00815 |
| Haiku 4.5 | $0.00004 | $0.00408 |
Grade A, and why
excavate 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 24d 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 — 476 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EXCAVATE v2.0 — Assumption Archaeology (Premium)
Mathematical Compliance: This skill implements the DEPTH-MATHEMATICS specification. It computes and outputs ADS phase activation, CEI components, SI components, cognitive traces (sensitivity surface, assumption dependency graph), and verifies Gates V1, V2. It integrates with BOUNDARY-DETECTOR for knowledge boundary probes.
Every answer stands on ground you haven't inspected. The logic is flawless. The conclusion follows from the premises. No one checked the premises.
"Valid" means "correct IF the premises are true." You never verified that they are. The premises were absorbed — from the problem description, from pattern matching, from your model of the user's situation. Each is a silent load-bearing wall. Remove one, and everything above it collapses.
This skill digs beneath the logic to inspect the ground. Now it maps the sensitivity surface and simulates counterfactual worlds.
The Failure Mode You Must Recognize
You are about to deliver an answer that:
- Lists assumptions you already know are true (safe, performative)
- Skips assumptions you absorbed from pattern matching without noticing
- Conflates "I haven't seen evidence against this" with "this is true"
- Never checks whether the problem itself is correctly framed
- Produces assumption lists without measuring their actual impact (sensitivity)
Surface assumptions are not the threat. The threat is the assumptions you don't know you're making. The threat is assumptions whose collapse you haven't simulated.
The Protocol
0 — PARAMETERIZE: Read Thinking Parameters
Read thinking_parameters:
min_assumptions(default 10) — minimum assumptions in Step 1min_deep_questions(default 5) — minimum deep questions in Step 2collapse_threshold(default "C2") — minimum rating requiring resolutionrequire_sensitivity_surface(default true) — compute sensitivity surfacerequire_counterfactual_worlds(default true) — simulate counterfactualsrequire_boundary_probes(default true) — probe knowledge boundaries
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.
- 24d ago Changed · +300 lines · +19 tokens per session 41c4dc01c23d
- 1mo ago First seen · 176 lines · 19 tokens per session scan A b3b722e9b1f5
excavate is a skill published in the GitHub repository Kshitijpalsinghtomar/depth-skills (5 stars, last pushed 13d ago), licensed MIT. It adds 38 tokens to every session and 4,077 once invoked, about $0.0002 per session on Opus 5.5. 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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