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 agentlas-ai/agentlas-desktop --skill deextinction-feasibilitygit clone --depth 1 https://github.com/agentlas-ai/agentlas-desktopWrote 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/agentlas-ai/agentlas-desktop/deextinction-feasibility)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/deextinction-feasibility"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/deextinction-feasibility/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/agentlas-ai/agentlas-desktop/deextinction-feasibility"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/deextinction-feasibility.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 | $0.00026 | $0.00875 |
| Opus 5.5 | $0.00010 | $0.00350 |
| Sonnet 5.5 | $0.00005 | $0.00175 |
| Haiku 4.5 | $0.00003 | $0.00088 |
Grade A, and why
deextinction-feasibility 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 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.
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 — 35 lines — stays where its author put it; the contents beside it link to each section on GitHub.
De-extinction feasibility
Treat “which dinosaur is most revivable, reconstruct its genome, and hatch it” as a sequence of testable evidence questions. Do not present the requested outcome as already feasible. Before comparing candidates, record exactly one objective: actual-biological-revival or comparative-proxy-research. Never put those objectives on one feasibility scale.
When comparing two or more candidates, call assess_deextinction_feasibility only with evidence classifications bound by the host to sealed ResearchRuns. The tool accepts no caller-authored score. Its soft research-evidence completeness is not a biological-feasibility score. PBDB coverage is shown separately and is excluded from completeness, gate decisions, and audit ordering; its biological-feasibility contribution is fixed at zero.
Required stages
- Define the target. Distinguish biological resurrection of a non-avian dinosaur from engineering a phenotype proxy in an extant avian lineage. Record which outcome the researcher means.
- Compare fossil candidates. Run
analyze_paleontology_stratigraphic_supportfor each exact PBDB catalog, then pass 2–20 exact catalog-run plus analysis-run pairs tocompare_fossil_candidate_evidence. The tool derives taxonomic resolution, returned versus available occurrences, truncation, formation/interval/georeference/primary-reference coverage, separate oldest/youngest bounds, interval width, and missingness. It accepts no score and produces no scalar, ordinal, Pareto, revival, or biological-feasibility ranking. TreatcandidateOrdinalonly as request order. Preserve the descriptive matrix when a parent is truncated, disclosetruncated-parent-evidence, and retrieve missing pages before making count comparisons outside the tool. - Review molecular preservation. Search primary literature for specimen-specific, independently authenticated endogenous molecules. Record material, specimen identifier, geological age, authentication controls, contamination tests, replication, molecule type, and usable sequence length. Fossil abundance is not molecular preservation evidence.
- Enrich museum holdings. Query current GBIF or museum records for specimen and collection candidates. Preserve institution, catalog number, basis of record, identifiers, license, and access date. A museum occurrence is not a sequence or morphology measurement.
- Compare extant relatives. Use separately sourced and versioned extant avian/crocodilian genomes, explicit orthology rules, species tree, alignments, missingness, and uncertainty. Do not label an extant-relative consensus as a dinosaur genome.
- Run hypothetical ASR. Only after the comparative-genomics inputs exist, estimate alternative ancestral states with posterior support and sensitivity to topology/model choice. Label every result
hypothetical-ancestral-reconstruction; neverrecovered dinosaur sequence. - Assess development. Separate regulatory architecture, chromosome organization, cell-line engineering, germ-line transmission, host compatibility, embryogenesis, and viable hatching into distinct tests. Comparative sequence similarity alone supports none of them.
- Handoff. Send the evidence ledger, negative findings, artifact receipts, unresolved questions, and stop-condition status to the built-in Research Director before advancing a stage or drafting a conclusion.
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 · 35 lines · 26 tokens per session scan A cde24ef3d5e1
deextinction-feasibility is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (6 stars, last pushed today), licensed Apache-2.0. It adds 26 tokens to every session and 875 once invoked, about $0.0001 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 2026-09-04.
Other skills, from other repositories
tbtools
Use when the user asks about TBtools, TBtools-II, TBtools RPC API, TBtools CLI, or bioinformatics operations available through TBtools such as sequence manipulation, BLAST, GFF/GTF/GXF processing, expression tables, heatmaps, trees, MCScanX, DIAMOND, HMMER, MUSCLE, and IQ-TREE.
electron-expert
Expert in Electron framework, desktop app development, IPC, and cross-platform packaging. Use when the user mentions desktop, Node.js, cross platform, Windows, macOS, or Linux, or when the task involves Electron Architecture, Process Types, IPC Communication, or App Lifecycle.
autoresearch
Run an auto research / autoresearch loop for measurable improvements. Use when optimizing a skill, agent, prompt, code path, benchmark, or other target with a mechanical metric: baseline, mutate one thing, verify, keep or discard, log, chart progress, and optionally save improved custom skills or agents through Open…
architecture-diagram
How to draw and maintain the architecture diagram Ensemblr keeps for a workspace — ensemblrgetarchitecturediagram to fetch the stored one (it answers with null when nobody has drawn this workspace yet), the IR shape, how to derive it from the codebase, and ensemblrupdatearchitecturediagram to store it. Read this when…
research-orchestrator
Becomes a principal research scientist who orchestrates deep, multi-source research by coordinating evidence gathering, grading source quality, and synthesizing findings with explicit confidence levels. Use when the user needs a comprehensive research report on a complex topic, evidence-based analysis with source…
ensemblr
How Ensemblr works from inside it — the workspace/git-worktree model, the ensemblr control tools and what their answers mean, the committed .ensemblr/settings.toml (setup and run scripts, [git], [prompts], [infisical], environment variables), /.config/ensemblr/config.json, the Changes panel and diff comments, the…