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 quantskills/agent-quantspace --skill analyzegit clone --depth 1 https://github.com/quantskills/agent-quantspaceWrote 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/quantskills/agent-quantspace/analyze)<a href="https://agentmods.dev/skills/quantskills/agent-quantspace/analyze"><img src="https://agentmods.dev/badge/skills/quantskills/agent-quantspace/analyze/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/quantskills/agent-quantspace/analyze"><img src="https://agentmods.dev/badge/skills/quantskills/agent-quantspace/analyze.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 | $0.00036 | $0.05305 |
| Opus 5.5 | $0.00014 | $0.02122 |
| Sonnet 5.5 | $0.00007 | $0.01061 |
| Haiku 4.5 | $0.00004 | $0.00530 |
Grade A, and why
analyze 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 12d 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.
The source is not reproduced here
Licensed GPL-3.0
The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
24 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- __init__.py 4.2 KB runs code
- attribution_core.py 27 KB runs code
- attribution_counterfactual.py 22 KB runs code
- attribution_decision.py 19 KB runs code
- attribution_factor.py 23 KB runs code
- attribution_ledger.py 23 KB runs code
- attribution_ranking.py 7.4 KB runs code
- attribution_robustness.py 17 KB runs code
- attribution_shapley.py 7.8 KB runs code
- attribution_stat_tests.py 12 KB runs code
- causality.py 29 KB runs code
- cli.py 30 KB runs code
- content_fingerprint.py 2.7 KB runs code
- contracts.py 28 KB runs code
- facade.py 28 KB runs code
- factor_analysis.py 17 KB runs code
- factor_evaluation.py 33 KB runs code
- factor_incremental.py 33 KB runs code
- factor_information.py 11 KB runs code
- factor_robustness.py 25 KB runs code
- spec_checks.py 16 KB runs code
- tearsheet.py 3.7 KB runs code
- ts_analysis.py 30 KB runs code
- validation.py 14 KB runs code
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.
- 12d ago Changed · +213 lines e5822a26271e
- 20d ago Changed · +7 lines 329429bbea3c
- 2mo ago First seen · 198 lines · 36 tokens per session scan A b9ee9319ab60
analyze is a skill published in the GitHub repository quantskills/agent-quantspace (66 stars, last pushed yesterday), licensed GPL-3.0. It adds 36 tokens to every session and 5,305 once invoked, about $0.0001 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 2026-08-30.
analyze compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| analyzequantskills/agent-quantspace | Skill | 66 | yesterday | GPL-3.0 | A | 36 | Claude Code, Codex |
| monte-carloPlanExeOrg/PlanExe | Skill | 403 | 6d ago | MIT | A | 71 | Claude Code |
| neqsim-integrated-production-and-lifecycleequinor/neqsim | Skill | 163 | yesterday | Apache-2.0 | A | 98 | Claude Code, Codex |
| neqsim-utility-designequinor/neqsim | Skill | 163 | yesterday | Apache-2.0 | A | 108 | Claude Code, Codex |
| fin-paper-figurecsmar432/finai-research | Skill | 109 | 3d ago | MIT | A | 14 | Claude Code, Codex |
| fin-paper-writingcsmar432/finai-research | Skill | 109 | 3d ago | MIT | A | 65 | Claude Code |
| fin-viz-launchcsmar432/finai-research | Skill | 109 | 3d ago | MIT | A | 45 | Claude Code, Codex |