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 | $0.00025 | $0.01645 |
| Opus 5 | $0.00013 | $0.00822 |
| Sonnet 5 | $0.00005 | $0.00329 |
| Haiku 4.5 | $0.00003 | $0.00164 |
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 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 — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NEGATIVE-SPACE — Absence Detector
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.
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.
The Protocol
Step 1 — MAP THE LIGHT CONE
Write every dimension your answer currently addresses. Be specific — not "technical" but "database performance" or "API contract design."
DIMENSIONS PRESENT IN THIS ANSWER:
1. [dimension]
2. [dimension]
...
This is the light cone — what the answer illuminated.
Everything else is shadow.
Artifact: The dimension list. Step 2 scans for what's not on this list.
Step 2 — SCAN THE STANDARD DIMENSIONS
Check each dimension against your answer. Write the status:
DIMENSION SCAN
────────────────────────────────────────
Security: [addressed / absent / N/A for this problem]
If absent: [what security implication exists?]
Privacy: [addressed / absent / N/A]
If absent: [what data handling was not discussed?]
Error handling: [addressed / absent / N/A]
If absent: [what goes wrong when this fails?]
Edge cases: [addressed / absent / N/A]
If absent: [what boundary input was not considered?]
Scale: [addressed / absent / N/A]
If absent: [what happens at 10× or 100×?]
Accessibility: [addressed / absent / N/A]
If absent: [who is excluded?]
Observability: [addressed / absent / N/A]
If absent: [can you tell if this is working in production?]
Reversibility: [addressed / absent / N/A]
If absent: [can this be undone if wrong?]
Cost: [addressed / absent / N/A]
If absent: [what does this cost in money, time, or complexity?]
Dependencies: [addressed / absent / N/A]
If absent: [what could change or fail beneath this?]
Migration: [addressed / absent / N/A]
If absent: [how do you get from current to proposed state?]
Testing: [addressed / absent / N/A]
If absent: [how is correctness verified?]
────────────────────────────────────────
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 · 208 lines · 25 tokens per session scan A f0f52dfa19b1
negative-space is a skill published in the GitHub repository Kshitijpalsinghtomar/depth-skills (4 stars, last pushed 3mo ago), licensed MIT. It adds 25 tokens to every session and 1,645 once invoked, about $0.0001 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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