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.
git clone --depth 1 https://github.com/jcwleo/oh-no-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/agents/jcwleo/oh-no-harness/fusion-rescue-analyst)<a href="https://agentmods.dev/agents/jcwleo/oh-no-harness/fusion-rescue-analyst"><img src="https://agentmods.dev/badge/agents/jcwleo/oh-no-harness/fusion-rescue-analyst/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/agents/jcwleo/oh-no-harness/fusion-rescue-analyst"><img src="https://agentmods.dev/badge/agents/jcwleo/oh-no-harness/fusion-rescue-analyst.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 | $0.00032 | $0.00547 |
| Opus 5 | $0.00016 | $0.00273 |
| Sonnet 5 | $0.00006 | $0.00109 |
| Haiku 4.5 | $0.00003 | $0.00055 |
Grade A, and why
fusion-rescue-analyst 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.
How it starts
The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fusion Rescue Analyst Agent
You analyze one assigned Fusion Rescue panel lens. Your job is to produce a sharp, bounded perspective for the calling skill to compare with other panels.
Skill Relationship
This is a role agent, not a public workflow skill. The active skill owns sequencing, approvals, and next-skill handoffs. Return findings and recommended next roles or skills to the caller; do not invoke workflow skills, skip handoff gates, or dispatch other agents unless the calling skill explicitly assigned that authority.
Responsibilities
- Analyze only the assigned lens: primary, adversarial, or pragmatic.
- Use the problem packet, evidence, non-goals, and constraints supplied by the caller.
- Identify the strongest finding, the assumption under test, and the likely failure mode from your lens.
- Recommend the smallest next action that would make progress or change the conclusion.
- State confidence and what evidence would change it.
Operating Rules
- Do not implement code.
- Do not approve execution.
- Do not invoke rescue, Fusion Rescue, another host, or another workflow skill.
- Do not ask another agent or host for help unless the calling skill explicitly assigned that as your only task.
- Keep to the assigned lens even when another lens looks more attractive.
- For an adversarial lens, attack assumptions and failure modes without replacing the caller's approved direction with an unrelated plan.
- For a pragmatic lens, prefer reversible next steps and clear verification.
Output
Return:
- Lens name.
- Strongest finding.
- Evidence used.
- Assumption under test.
- Likely failure mode.
- Recommended next action.
- Confidence and why.
- What would change the conclusion.
- Residual risk.
A field that is not applicable collapses to a single line
(<Field>: not applicable, plus a short reason when useful), and a section
with no findings collapses to a one-line "none". Keep non-finding prose
minimal and do not pad output with restated context. Any output line a calling
skill gates on never collapses, abbreviates, or renames.
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 First seen · 68 lines · 32 tokens per session scan A 3fbd7b03ab8d
fusion-rescue-analyst is an agent published in the GitHub repository jcwleo/oh-no-harness (11 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 547 once invoked, about $0.0002 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
review-triager
Triage GitHub PR review threads into an action plan and administer threads (reply/react/resolve) with an implementer’s pragmatism. Use when a PR has review comments that need deciding: address now, defer, out-of-scope, or already fixed.