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 GGbond-bo/MemOmics-Agent --skill design_verification_primersgit clone --depth 1 https://github.com/GGbond-bo/MemOmics-AgentWrote 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/ggbond-bo/memomics-agent/design_verification_primers)<a href="https://agentmods.dev/skills/ggbond-bo/memomics-agent/design_verification_primers"><img src="https://agentmods.dev/badge/skills/ggbond-bo/memomics-agent/design_verification_primers/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/ggbond-bo/memomics-agent/design_verification_primers"><img src="https://agentmods.dev/badge/skills/ggbond-bo/memomics-agent/design_verification_primers.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 | $0.00045 | $0.01375 |
| Opus 5 | $0.00023 | $0.00687 |
| Sonnet 5 | $0.00009 | $0.00275 |
| Haiku 4.5 | $0.00005 | $0.00137 |
Grade A, and why
design_verification_primers 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 9d 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design Verification Primers
Design Sanger sequencing primers to verify a specific region in a plasmid. First tries to use primers from an existing primer pool. If they cannot fully cover the region, designs additional primers as needed.
When to Use
When you need design verification primers analysis
Parameters
| Parameter | Default | Notes |
|---|---|---|
plasmid_sequence |
[Required] The complete plasmid sequence (str) | |
target_region |
[Required] Start and end positions to verify (0-based indexing) (Tuple[int, int]) | |
existing_primers |
[Optional] List of existing primers with their sequences and optional names | |
is_circular |
[Optional] Whether the plasmid is circular (default: True) | |
coverage_length |
[Optional] Typical read length for each primer in base pairs (default: 800) | |
primer_length |
[Optional] Length of newly designed primers (default: 20) | |
min_gc |
[Optional] Minimum GC content for new primers (default: 0.4) | |
max_gc |
[Optional] Maximum GC content for new primers (default: 0.6) | |
min_tm |
[Optional] Minimum melting temperature in °C (default: 55.0) | |
max_tm |
[Optional] Maximum melting temperature in °C (default: 65.0) |
Parameter Adaptation: Adjust parameters based on tissue quality, species, and condition. Literature values take priority, then official defaults, then tissue-specific adjustments.
Proven Scripts
Scripts that have been successfully executed and passed analysis review. These are automatically saved after successful runs.
| Species | Tissue | Condition | Date | Score |
|---|---|---|---|---|
| (none yet) |
Common Issues
| Error | Cause | Solution |
|---|---|---|
| (accumulated from runs) |
References
- Source: Biomni
- Category: multi_omics
- Language: Python
🗣️ 辩论机制（debate_analysis）
本 skill 在执行后，如果涉及参数选择、方法决策、结果判断等不确定环节，必须调用 工具进行多角色辩论。
What ships with it
2 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.
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.
- 9d ago First seen · 112 lines · 45 tokens per session scan A 63c0cb37c3ef
design_verification_primers is a skill published in the GitHub repository GGbond-bo/MemOmics-Agent (19 stars, last pushed 2d ago), licensed MIT. It adds 45 tokens to every session and 1,375 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 2026-09-03.
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