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 agentmods add skills/sd0xdev/sd0x-harness/deep-analyzenpx skills add sd0xdev/sd0x-harness --skill deep-analyzegit clone --depth 1 https://github.com/sd0xdev/sd0x-harnessWrote 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/sd0xdev/sd0x-harness/deep-analyze)<a href="https://agentmods.dev/skills/sd0xdev/sd0x-harness/deep-analyze"><img src="https://agentmods.dev/badge/skills/sd0xdev/sd0x-harness/deep-analyze.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 | $0.00023 | $0.00496 |
| Opus 5 | $0.00012 | $0.00248 |
| Sonnet 5 | $0.00005 | $0.00099 |
| Haiku 4.5 | $0.00002 | $0.00050 |
Grade A, and why
deep-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 5d 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.
What it actually says
Deep Analyze
Trigger
- Keywords: deep analyze, deep analysis, deep dive, roadmap, deep-analyze
When NOT to Use
- Architecture advice only (use
/codex-architect) - Tech spec writing (use
/tech-spec) - Feasibility analysis (use
/feasibility-study)
Agent Dispatch
Agent({
description: "Deep-dive analysis with actionable roadmap and alternatives",
subagent_type: "solution-architect",
prompt: `Perform a deep analysis of the following initial proposal.
Follow the analysis framework and output format defined in this skill.`
})
Task
Input
$ARGUMENTS
Analysis Flow
Phase 1: Understand & Validate
- Extract the core objectives of the initial proposal
- Identify key assumptions (which may be wrong)
- List technical points that need verification
Phase 2: Code Deep Dive
Research the existing codebase thoroughly. Must verify:
- Naming conventions
- DI injection patterns
- Error handling patterns
- Implementation patterns of similar features
Phase 3: Roadmap Output
Based on the research, produce:
- Implementation steps (immediately actionable)
- Key pseudocode (only core 1-3 lines, omit if not necessary)
- Alternative comparison
Output
# [Proposal Name] Implementation Roadmap
## Proposal Validation
| Assumption | Verification Result | Impact |
## Code Research Summary
| Module | Existing Implementation | Reusable |
## Implementation Roadmap
### Step 1: [Title]
**Objective**: One sentence
**Files**: `src/xxx.ts` (modify/create)
## Alternatives
| Dimension | Option A (Recommended) | Option B |
## Risks & Mitigations
| Risk | Probability | Mitigation |
## Immediate Actions
1. [ ] First task
2. [ ] Second task
Examples
/deep-analyze "Use Redis to cache token prices with TTL 5 minutes"
/deep-analyze docs/features/xxx/tech-spec.md
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.
- 5d ago First seen · 94 lines · 23 tokens per session scan A e4a9b10d5817
deep-analyze is a skill published in the GitHub repository sd0xdev/sd0x-harness (188 stars, last pushed yesterday), licensed MIT. It adds 23 tokens to every session and 496 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 2026-08-30.
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