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-negative-spacegit 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-negative-space)<a href="https://agentmods.dev/skills/kshitijpalsinghtomar/depth-skills/ds-negative-space"><img src="https://agentmods.dev/badge/skills/kshitijpalsinghtomar/depth-skills/ds-negative-space/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-negative-space"><img src="https://agentmods.dev/badge/skills/kshitijpalsinghtomar/depth-skills/ds-negative-space.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 | $0.00046 | $0.05319 |
| Opus 5.5 | $0.00018 | $0.02128 |
| Sonnet 5.5 | $0.00009 | $0.01064 |
| Haiku 4.5 | $0.00005 | $0.00532 |
Grade A, and why
negative-space 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 25d 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 — 562 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NEGATIVE-SPACE v2.0 — Absence Detector (Premium)
Mathematical Compliance: This skill implements the DEPTH-MATHEMATICS specification. It computes and outputs ADS phase activation, CEI components, SI components, cognitive traces (dimension completeness proof, security scan), and verifies Gates V1, V6. It provides the final silence report for the Depth .
Your answer is thorough. Every point you made is correct. Every section is well-reasoned.
But you only wrote about what you activated. The concepts far from your initial activation path were never reached — not because they're irrelevant, but because the path didn't lead there. Every answer has a shadow: the dimension space that was never illuminated. An answer that covers 8 dimensions thoroughly looks complete — but if 3 uncovered dimensions matter, it's dangerously incomplete.
This skill illuminates the shadows. Now it proves completeness mathematically, scans for security/stakeholder gaps, and taxonomizes failure categories.
The Failure Mode You Must Recognize
You feel finished. The answer covers everything you thought of. The coverage feels complete because everything that IS there is well-done.
But "everything I thought of" is not the same as "everything that matters." Your activation path was determined by the initial keywords. Concepts adjacent to those keywords were activated. Distant concepts were not. The feeling of completeness is an artifact of your search pattern, not evidence of actual completeness.
New failure mode in v2.0: Completeness theater — checking boxes without proving coverage. Security blindness — missing adversarial dimensions. Stakeholder exclusion — optimizing for the wrong user. Failure category gaps — preparing for the wrong disasters.
The Protocol
0 — PARAMETERIZE: Read Thinking Parameters
Read thinking_parameters:
require_completeness_proof(default true) — mathematical proof of dimension coveragerequire_security_scan(default true) — adversarial dimension scanrequire_stakeholder_impact(default true) — impact assessment per stakeholderrequire_failure_taxonomy(default true) — structured failure category scan
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.
- 25d ago Changed · +354 lines · +21 tokens per session 02b097b0c1aa
- 1mo ago First seen · 208 lines · 25 tokens per session scan A f0f52dfa19b1
negative-space is a skill published in the GitHub repository Kshitijpalsinghtomar/depth-skills (5 stars, last pushed 13d ago), licensed MIT. It adds 46 tokens to every session and 5,319 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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