deep-trajectory-analysis SKILL.md skillA
deep-trajectory-analysis from swyxio/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add swyxio/skills/deep-trajectory-analysis@git:20260728.5ddd9d6Pins git:20260728.5ddd9d6 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- swyxio/skills
- Path
deep-trajectory-analysis/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260728.5ddd9d6, committed Jul 28, 2026
- Size
- 7,290 bytes
- Repository stars
- 194
- License
- MIT
Reconstruct and visually analyze paired agent, game, or policy trajectories to determine whether changed actions produced their intended effects. Use for move-history audits, replay/trace analysis, policy regressions, behavior calibration, causal first-divergence studies, reply-survival analysis, agent personality validation, promotion decisions, and reports that must connect aggregate outcomes to exact state-action sequences.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Deep Trajectory Analysis Determine not merely whether a candidate scored better, but what it changed, whether the named mechanism fired, how the environment replied, and whether the benefit survived to the final outcome. Read [references/evidence-contract.md](references/evidence-contract.md) before defining metrics or building the report. Run [scripts/validate-report.mjs](scripts/validate-report.mjs) on a machine-readable result that follows that contract. ## Establish the causal question Write one sentence for each intended effect before inspecting favorable examples: > When opportunity O is publicly observable, policy P should change action A, immediately alter > mechanism M, survive response R, and improve horizon outcome H without violating safety S. Operationalize every noun. Prefer board-, state-, or trace-derived quantities over labels such as “aggressive,” “safe,” “precise,” or “wild.” Separate: - **strength**: final win, reward, score margin, rank, or task success; - **identity**: the behavior the policy is meant to exhibit; - **safety**: compute, fairness, legality, information access, termination, and worst-case floors. …
Read the whole file at its exact version.
How to install
mdr add swyxio/skills/deep-trajectory-analysis@sha256:3a569780a872bdaeThe line at the top of this page pins the label git:20260728.5ddd9d6, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_34t6qhu24bectxk3)
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Versions
The registry has recorded 1 version of this file, committed on Jul 28, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7290 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
swyxio/skills · 194 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_34t6qhu24bectxk3 GET https://markdownregistry.com/api/v1/resolve?ref=swyxio/skills/deep-trajectory-analysis GET https://markdownregistry.com/api/v1/blob/3a569780a872bdae1b73328ad53772f935a5443ee18b7ca7fe7f716c8fe2a78a
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.