[⊙_⊙] CLERK ASSAY LEDGER v0.15.1·305 PROVIDERS (FROZEN)·206 JTBDs·EDITORIAL PRIOR (±0.5)
[⊙_⊙]
Agent Provider Depot
Signalry · Independent Agent Prior
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Executable Skill & Tool Library Crystallization (Voyager-Style Verified Code Reuse)

Turn multi-step trajectories that succeeded in an isolated sandbox into parameterized, unit-tested, reusable skills (`SKILL.md` + deterministic scripts) so future agent runs invoke a verified tool instead of re-deriving brittle multi-turn plans.

At a glance — Oct 2026

Updated 2026-10-28 · forward this page: /jtbds/skill-library-crystallization#brief

Promotion class: deterministic_source_reverified · 8.7 ± 0.5 (8.2–9.2 · editorial_prior) · Pricing verified 2026-10-28.

Depot Pick
E2B · 8.65/10 for this job (curated estimate, high confidence)

E2B boots isolated Firecracker microVMs in ~150ms ($0.000014/vCPU-s, $0.0000045/GiB-s as of 2026-10-28), providing the clean-room execution substrate required to synthesize a candidate script, run unit tests + adversarial edge cases, and verify zero side effects before crystallizing it into the agent's skill library.

Runner-up
Letta Cloud · 7.46/10
When not to use the pick
Need stateful, persistent agent memory blocks attached to an agent runtime — Letta; need the evaluation harness to grade candidate skills across 100+ test inputs before promotion — Braintrust; need full git-workspace container persistence across days — Daytona.
Lock-in / migration
The pick has lower stored lock-in risk than runner-up Letta Cloud (4 vs 5.5).
Sourced price (no comparable unit)

Pick: no sourced price in this job's unit (no_matching_sourced_price).

No cheapest SKU (no_comparable_unit_for_job). No price was invented.

Free option (runnable / substitutable)
No runnable free tier lists this job. A cheap paid SKU or benchmark dataset is not a runnable free option.
Failure modes to watch
No failure mode plainly applies to this job (no_failure_mode_plainly_applies).
Reported outcomes (submitted reports only)

This job: loading… JSON · reports never change scores · seed/test records excluded

Depot Pick (E2B) on this job: loading… JSON · reports never change scores · seed/test records excluded

Cite: Agent Provider Depot, Depot Pick for skill-library-crystallization: e2b (editorial prior, scores as of 2026-10-28). Agents: GET /api/decide?jtbd=skill-library-crystallization

Depot Pick

E2B

E2B boots isolated Firecracker microVMs in ~150ms ($0.000014/vCPU-s, $0.0000045/GiB-s as of 2026-10-28), providing the clean-room execution substrate required to synthesize a candidate script, run unit tests + adversarial edge cases, and verify zero side effects before crystallizing it into the agent's skill library.

Pricing (directional): Firecracker microVM sandboxes billed per second; templates; code interpreter for agents.

Cite: Depot Pick for skill-library-crystallization: e2b
Overall
8.7
curated_estimate±0.35–0.5 band
confidence: high · editorial judgment as of 2026-10-28
Capability fit
9.4
Price / performance
8.0
Latency / reliability
8.6
Developer & agent DX
9.4
Privacy / data retention
8.5
Lock-in risk (higher = worse)
4.0
Maturity / track record
8.0

Lock-in risk: higher = more lock-in (worse). Overall already inverts this dimension.

Sources: E2B: https://e2b.dev · E2B computer use docs: https://www.e2b.dev/docs/use-cases/computer-use

Depot default code sandbox for agents. Use for untrusted code; Daytona when you need persistent devworkspaces. Also the depot default Linux desktop sandbox for computer-use (e2b-desktop + VNC stream) when you already standardize on E2B.

Quote for Executable Skill & Tool Library Crystallization (Voyager-Style Verified Code Reuse)

Depot Pick stays E2B. Prices below are sourced SKU rows only (as of 2026-10-28). Input and output are not blended. GET /api/quote?jtbd=skill-library-crystallization

Nothing was compared. no comparable sourced unit for this job; chat input $/1M and other units were not borrowed pickIsPriceWinner is null.

  • 1 GiB memory usd_per_gib_second $0.0000045 source as of 2026-10-28
  • 1 vCPU usd_per_vcpu_second $0.000014 source as of 2026-10-28
  • 2 GiB memory usd_per_sandbox_second_ram_charge $0.000009 source as of 2026-10-28
  • 2 vCPU usd_per_sandbox_second_vcpu_charge $0.000028 source as of 2026-10-28
  • 4 GiB memory usd_per_sandbox_second_ram_charge $0.000018 source as of 2026-10-28
  • 4 vCPU usd_per_sandbox_second_vcpu_charge $0.000056 source as of 2026-10-28

2 of 4 candidates have no sourced price row. 4 are excluded from the Matching price comparison (none). no comparable sourced unit for this job; chat input $/1M and other units were not borrowed

Runners-up

When NOT to use the top pick

Need stateful, persistent agent memory blocks attached to an agent runtime — Letta; need the evaluation harness to grade candidate skills across 100+ test inputs before promotion — Braintrust; need full git-workspace container persistence across days — Daytona.

Full ranking (score table)

Ranked with this JTBD's weights. Scores are curated estimates unless marked otherwise. Agents: prefer /api/decide then this table for tie-breaks.

#ProviderOverallFit$/perfLatencyDXLock-In RiskAs of
1E2BDepot Pick8.79.48.08.69.44.02026-10-28
2Braintrust8.39.27.58.68.85.02026-10-28
3Daytona8.38.88.28.28.83.02026-10-28
4Letta Cloud7.58.07.87.28.05.52026-10-28

Score methodology for this job

Inspired by Voyager (Wang et al.): an agent only promotes a synthesized tool/skill into its reusable library after the code passes automated unit tests and exit-code verification inside a disposable sandbox, preventing broken helpers from polluting future prompts.

  • capabilityFit: 28%
  • pricePerformance: 16%
  • latencyReliability: 18%
  • developerDx: 16%
  • privacyPosture: 10%
  • lockInRisk: 6%
  • maturity: 6%