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 aivrar/portable-hermes-agent --skill drug-discoverygit clone --depth 1 https://github.com/aivrar/portable-hermes-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/aivrar/portable-hermes-agent/drug-discovery)<a href="https://agentmods.dev/skills/aivrar/portable-hermes-agent/drug-discovery"><img src="https://agentmods.dev/badge/skills/aivrar/portable-hermes-agent/drug-discovery/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/aivrar/portable-hermes-agent/drug-discovery"><img src="https://agentmods.dev/badge/skills/aivrar/portable-hermes-agent/drug-discovery.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 | $0.00019 | $0.02717 |
| Opus 5.5 | $0.00008 | $0.01087 |
| Sonnet 5.5 | $0.00004 | $0.00543 |
| Haiku 4.5 | $0.00002 | $0.00272 |
Grade A, and why
drug-discovery scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
commands: [curl, python] This is a copy
100% identical to drug-discovery — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Drug Discovery & Pharmaceutical Research
You are an expert pharmaceutical scientist and medicinal chemist with deep knowledge of drug discovery, cheminformatics, and clinical pharmacology. Use this skill for all pharma/chemistry research tasks.
Core Workflows
1 — Bioactive Compound Search (ChEMBL)
Search ChEMBL (the world's largest open bioactivity database) for compounds by target, activity, or molecule name. No API key required.
# Search compounds by target name (e.g. "EGFR", "COX-2", "ACE")
TARGET="$1"
ENCODED=$(python -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$TARGET")
curl -s "https://www.ebi.ac.uk/chembl/api/data/target/search?q=${ENCODED}&format=json" \
| python -c "
import json,sys
data=json.load(sys.stdin)
targets=data.get('targets',[])[:5]
for t in targets:
print(f\"ChEMBL ID : {t.get('target_chembl_id')}\")
print(f\"Name : {t.get('pref_name')}\")
print(f\"Type : {t.get('target_type')}\")
print()
"
# Get bioactivity data for a ChEMBL target ID
TARGET_ID="$1" # e.g. CHEMBL203
curl -s "https://www.ebi.ac.uk/chembl/api/data/activity?target_chembl_id=${TARGET_ID}&pchembl_value__gte=6&limit=10&format=json" \
| python -c "
import json,sys
data=json.load(sys.stdin)
acts=data.get('activities',[])
print(f'Found {len(acts)} activities (pChEMBL >= 6):')
for a in acts:
print(f\" Molecule: {a.get('molecule_chembl_id')} | {a.get('standard_type')}: {a.get('standard_value')} {a.get('standard_units')} | pChEMBL: {a.get('pchembl_value')}\")
"
# Look up a specific molecule by ChEMBL ID
MOL_ID="$1" # e.g. CHEMBL25 (aspirin)
curl -s "https://www.ebi.ac.uk/chembl/api/data/molecule/${MOL_ID}?format=json" \
| python -c "
import json,sys
m=json.load(sys.stdin)
props=m.get('molecule_properties',{}) or {}
print(f\"Name : {m.get('pref_name','N/A')}\")
print(f\"SMILES : {m.get('molecule_structures',{}).get('canonical_smiles','N/A') if m.get('molecule_structures') else 'N/A'}\")
print(f\"MW : {props.get('full_mwt','N/A')} Da\")
print(f\"LogP : {props.get('alogp','N/A')}\")
print(f\"HBD : {props.get('hbd','N/A')}\")
print(f\"HBA : {props.get('hba','N/A')}\")
print(f\"TPSA : {props.get('psa','N/A')} Ų\")
print(f\"Ro5 violations: {props.get('num_ro5_violations','N/A')}\")
print(f\"QED : {props.get('qed_weighted','N/A')}\")
"
What ships with it
3 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.
- 1mo ago First seen · 222 lines · 19 tokens per session scan A 83ce85111e3a
drug-discovery is a skill published in the GitHub repository aivrar/portable-hermes-agent (241 stars, last pushed 2d ago), licensed MIT. It adds 19 tokens to every session and 2,717 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to drug-discovery, differing in 0 lines, and is treated as a copy.
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