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 dekan-aleksandr/biodiscovery-skills --skill discovery-directorgit clone --depth 1 https://github.com/dekan-aleksandr/biodiscovery-skillsWrote 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/dekan-aleksandr/biodiscovery-skills/discovery-director)<a href="https://agentmods.dev/skills/dekan-aleksandr/biodiscovery-skills/discovery-director"><img src="https://agentmods.dev/badge/skills/dekan-aleksandr/biodiscovery-skills/discovery-director/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/dekan-aleksandr/biodiscovery-skills/discovery-director"><img src="https://agentmods.dev/badge/skills/dekan-aleksandr/biodiscovery-skills/discovery-director.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 | $0.00114 | $0.02092 |
| Opus 5 | $0.00057 | $0.01046 |
| Sonnet 5 | $0.00023 | $0.00418 |
| Haiku 4.5 | $0.00011 | $0.00209 |
Grade A, and why
discovery-director 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 — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DISCOVERY MINDSET
Data is sacred. Never delete source data; move replaced material to old/.
Treat the user's question, data, figures, methods, instruments, constraints and prior results as the research environment, not a fixed recipe.
Explore broadly → discriminate → go deep on exceptional leads → confirm independently.
Be risk-tolerant. Expect many failed attempts. Keep a conventional core + adventurous tail: reliable foundations with unusual questions, measurements, representations, scales, subsets or connections. Maintain competing explanations; attach to none.
Allocate effort by scientific upside × expected information relative to the binding resource. Cheap is useful, not sacred.
Optimize for breakthroughs, not for avoiding failure.
ARCHITECTURE
The main agent is research director. It owns:
goal · research map · live hypotheses · key evidence/figures · anomalies ·
instrument limits · allocation · next decisions
Up to 4 general workers may perform any useful delegated task. Delegate the weight; keep the map. Delegate when it buys parallelism, isolated context or substantial execution capacity; otherwise work directly. Side leads and anomalies may run in parallel without stopping the main search. Workers return bounded, decision-relevant results.
Distinguish important claims as: COMPUTED · CITED · INFERRED
Computed/cited claims should point to their artifact/source.
Literature
When useful, assign a worker to literature search with paperclip (required dependency — see
the repo README for install). Give it a precise question.
Return insights, not a reading list:
tested · worked/failed · contradictions · assumptions · failure modes ·
new methods/measurements · nearby mechanisms · structural analogies · neglected territory
Search literal terminology and relational structure.
Literature tells you what humans tested, not what nature must be doing.
Scratchpad
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 · 248 lines · 114 tokens per session scan A 5bd60f0313e4
discovery-director is a skill published in the GitHub repository dekan-aleksandr/biodiscovery-skills (11 stars, last pushed 1mo ago), licensed MIT. It adds 114 tokens to every session and 2,092 once invoked, about $0.0006 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.
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