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 thesecondfox/skill --skill bio-genome-engineering-prime-editing-designgit clone --depth 1 https://github.com/thesecondfox/skillWrote 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/thesecondfox/skill/bio-genome-engineering-prime-editing-design)<a href="https://agentmods.dev/skills/thesecondfox/skill/bio-genome-engineering-prime-editing-design"><img src="https://agentmods.dev/badge/skills/thesecondfox/skill/bio-genome-engineering-prime-editing-design/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/thesecondfox/skill/bio-genome-engineering-prime-editing-design"><img src="https://agentmods.dev/badge/skills/thesecondfox/skill/bio-genome-engineering-prime-editing-design.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 | $0.00059 | $0.02448 |
| Opus 5 | $0.00030 | $0.01224 |
| Sonnet 5 | $0.00012 | $0.00490 |
| Haiku 4.5 | $0.00006 | $0.00245 |
Grade A, and why
bio-genome-engineering-prime-editing-design 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.
How it starts
The opening of the file, as written. The whole thing — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Version Compatibility
Reference examples tested with: BioPython 1.83+
Before using code patterns, verify installed versions match. If versions differ:
- Python:
pip show <package>thenhelp(module.function)to check signatures
If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.
Prime Editing Design
"Design a prime editing guide for my point mutation" → Generate pegRNA sequences (spacer, scaffold, RT template, PBS) for precise genomic modifications without double-strand breaks, optimizing PBS length and RT template for editing efficiency.
- Python: PrimeDesign algorithms with
Bio.Seqfor sequence handling
pegRNA Structure
pegRNA components:
1. Spacer (20nt) - guides Cas9 to target site
2. Scaffold - Cas9 binding sequence
3. RT template - encodes the desired edit
4. PBS (primer binding site) - anneals to nicked strand
Spacer (20nt) Scaffold RT template PBS
5'─[NNNNNNNNNNNNNNNNNNNN]─[scaffold]─[edit]─────[PBS]─3'
Design pegRNA for Point Mutation
from Bio.Seq import Seq
def design_pegrna_substitution(target_seq, edit_pos, new_base, pbs_length=13, rt_length=15):
'''Design pegRNA for a point mutation
Args:
target_seq: ~100bp sequence centered on edit site
edit_pos: Position of nucleotide to change (0-indexed in target_seq)
new_base: New nucleotide (A, C, G, or T)
pbs_length: Primer binding site length (13-17nt optimal)
Shorter = less stable, Longer = more secondary structure
rt_length: RT template length including edit (10-20nt for substitutions)
Returns:
dict with pegRNA components
'''
target_seq = target_seq.upper()
# Find nick site (3bp upstream of PAM, which is 3bp after edit for +strand)
# For substitution, nick should be close to edit site
nick_pos = edit_pos + 3 # Adjust based on PAM location
# Spacer: 20nt upstream of PAM
spacer_start = nick_pos - 17 # Nick is 3bp upstream of PAM
spacer = target_seq[spacer_start:spacer_start + 20]
# PBS: Reverse complement of sequence just upstream of nick
pbs_region = target_seq[nick_pos - pbs_length:nick_pos]
pbs = str(Seq(pbs_region).reverse_complement())
# RT template: Contains the edit
# Sequence from nick site, with edit incorporated
rt_region = list(target_seq[nick_pos:nick_pos + rt_length])
# Incorporate the edit
edit_offset = edit_pos - nick_pos
if 0 <= edit_offset < len(rt_region):
rt_region[edit_offset] = new_base
rt_template = str(Seq(''.join(rt_region)).reverse_complement())
return {
'spacer': spacer,
'pbs': pbs,
'rt_template': rt_template,
'pbs_length': pbs_length,
'rt_length': rt_length,
'edit_type': 'substitution'
}
What ships with it
1 file 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.
- 5d ago First seen · 276 lines · 59 tokens per session scan A d6d0844d4280
bio-genome-engineering-prime-editing-design is a skill published in the GitHub repository thesecondfox/skill (3 stars, last pushed 5mo ago), licensed MIT. It adds 59 tokens to every session and 2,448 once invoked, about $0.0003 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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