retrospective

retrospective is an Investment analysis & markets skill for AI agents, published by TraderAlice in the OpenAlice repository on GitHub. Skillspace rates retrospective D (59/100) and it passed the safety scan; the rating is based on static analysis only.

Subjective retrospective / time-machine analysis: rewind a name to a past point, reconstruct what it looked like THEN (no future knowledge), align the news catalysts to the price path, and pressure-test "if I'd entered there, would it have worked?". Use when the question is about a past moment or a hypothetical entry: "rewind XLE to early April", "what did NVDA look like before earnings", "if we'd bought energy after the Iran headline, easy money?", "replay the SMH spike — policy or earnings?", "was there an entry signal at the time", "would an 8% trailing stop have saved me", "event study on the Hormuz escalation". It strings together the as-of snapshot, the date-windowed news, and the backtest into one honest replay — and it is ruthless about data freshness, because a retro built on a stale or future-leaking price is worse than no retro.

Grade
D
Quality
59 / 100
Safety
Passed
GitHub stars
5,997

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
84 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
AGPL-3.0
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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