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 TianGzlab/OmicsClaw --skill bulkrna-geneid-mappinggit clone --depth 1 https://github.com/TianGzlab/OmicsClawWrote 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/tiangzlab/omicsclaw/bulkrna-geneid-mapping)<a href="https://agentmods.dev/skills/tiangzlab/omicsclaw/bulkrna-geneid-mapping"><img src="https://agentmods.dev/badge/skills/tiangzlab/omicsclaw/bulkrna-geneid-mapping/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/tiangzlab/omicsclaw/bulkrna-geneid-mapping"><img src="https://agentmods.dev/badge/skills/tiangzlab/omicsclaw/bulkrna-geneid-mapping.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Rogue Agent · line 3 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 | $0.00054 | $0.01071 |
| Opus 5.5 | $0.00022 | $0.00428 |
| Sonnet 5.5 | $0.00011 | $0.00214 |
| Haiku 4.5 | $0.00005 | $0.00107 |
Grade A, and why
bulkrna-geneid-mapping 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 20d 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
bulkrna-geneid-mapping
When to use
Convert Ensembl, Entrez and symbol identifiers in count-matrix row indexes. Use a caller-provided mapping for full coverage or non-human organisms. Skip when identifiers already match downstream needs.
Use from a step
import pandas as pd
from skills._sdk.notebook import load_skill, read_input, write_output
library = load_skill('bulkrna-geneid-mapping')
data = read_input('counts.csv', reader=lambda path: pd.read_csv(path, index_col=0))
result = library.map_ids(data)
write_output(result, 'tables/result.csv')
examples/example_step.py runs offline and supports fresh-kernel replay. Pure computations return objects; CLI and steps own writes.
API
map_ids(data, *, from_type='ensembl', to_type='symbol', species='human', on_duplicate='sum', mapping=None)
Map count-matrix row identifiers without network or file access.
:param data: Gene-by-sample counts; the row index contains source IDs. :param from_type: CLI default ensembl; entrez and symbol are also supported. :param to_type: CLI default symbol; target namespace. :param species: CLI default human; mouse requires an explicit reference. :param on_duplicate: CLI default sum; first or drop resolve target collisions differently. :param mapping: Optional source/target DataFrame; None uses ten human demo genes only. :returns: A new mapped DataFrame with reference scope, mapping records and summary diagnostics. :raises ValueError: Namespaces, duplicate policy or reference data are invalid.
fetch_mapping(data, *, from_type='ensembl', to_type='symbol', species='human')
Query MyGene explicitly and return a local source/target mapping table.
:param data: Iterable of identifiers to send to the public MyGene service. :param from_type: Default ensembl; source namespace. :param to_type: Default symbol; requested target namespace. :param species: Default human; MyGene species selector. :returns: A DataFrame containing only identifiers for which MyGene returned a match. :raises ImportError: Install mygene with install_skill_deps if unavailable. :raises Exception: Network or service errors propagate; no demo substitute is returned.
What ships with it
7 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.
- 20d ago Changed · +30 lines · -5 tokens per session c0bc172f0b57
- 1mo ago First seen · 88 lines · 59 tokens per session scan A 6d6da726cd76
bulkrna-geneid-mapping is a skill published in the GitHub repository TianGzlab/OmicsClaw (161 stars, last pushed 21d ago), licensed Apache-2.0. It adds 54 tokens to every session and 1,071 once invoked, about $0.0002 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.
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