Analyze Local Model Reasoning with PTS
Reasoning traces do not show which events change a model's chance of solving a task. This skill guides PTS searches, event interpretation, and local dataset exports with explicit measurement caveats.
Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.
Review the Skillstore skill "pts-pivotal-token-search" from https://skillstore.io/skills/lambdasec-pts-pivotal-token-search.md and its manifest at https://skillstore.io/api/skills/lambdasec-pts-pivotal-token-search/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Votre Agent doit toujours présenter son plan et demander toute confirmation exigée par la politique de sécurité.
Utilisez ces liens lorsquâun Agent IA, un crawler ou un script a besoin dâun contexte propre au lieu de lire toute la page.
Utilisation de « pts-pivotal-token-search ». Explain how to compare token events and latent events in my PTS file.
RĂ©sultat attendu:
Rank token events by absolute probability change and retain the direction of the shift. Report latent readout scores separately. Do not combine these scales into one ranking.
Utilisation de « pts-pivotal-token-search ». Plan my first token search without starting it.
RĂ©sultat attendu:
Confirm the model, dataset, device, and time budget. Inspect the installed CLI flags. Propose fewer examples and samples for an initial pass. Request download consent and disclose the expected cost before execution.
Utilisation de « pts-pivotal-token-search ». Prepare existing events for a local DPO export.
RĂ©sultat attendu:
Link the local events, inspect available export filters, and test DPO export on a small file. Review the sample before scaling up. Do not publish or upload the results.
All 30 static findings are false positives: Markdown backticks, legitimate local PTS workflows, and relevant project links. The skill requires consent for downloads and publishing, prohibits automatic installation, and cautions against unsupported causal claims. No evidence found of prompt injection or unauthorized data transfer; external PTS implementations and hosted services were not audited.
Partagez le rapport dâĂ©valuation versionnĂ©, le badge neutre, la carte intĂ©grable et les citations. Skillstore prĂ©sente les preuves sans dĂ©cider si ce Skill est sĂ»r.
https://skillstore.io/skills/lambdasec-pts-pivotal-token-search/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/lambdasec-pts-pivotal-token-search?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/lambdasec-pts-pivotal-token-search?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/lambdasec-pts-pivotal-token-search/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/lambdasec-pts-pivotal-token-search.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>lambdasec. (2026). pts-pivotal-token-search security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/lambdasec-pts-pivotal-token-search/audits/1@techreport{lambdasec-lambdasec-pts-pivotal-token-search-2026,
author = {lambdasec},
title = {pts-pivotal-token-search security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/lambdasec-pts-pivotal-token-search/audits/1},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "pts-pivotal-token-search security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "lambdasec"
date-released: "2026-10-28"
url: "https://skillstore.io/skills/lambdasec-pts-pivotal-token-search/audits/1"
identifiers:
- type: other
value: "skillstore:lambdasec-pts-pivotal-token-search:audit:1"
description: "Skillstore immutable audit report identifier"
Plan a small token or sentence search to identify events associated with changes in task success.
Review existing event files, compare events within one scale, and identify examples that need manual checking.
Link existing events and test a filtered DPO export before processing a larger collection.
Explain the fields in my local PTS events file at [path]. Summarize its scales and model identifiers without running searches or uploading data.
Plan a token search for [model] on [dataset] using [device] within [budget]. Check available flags and ask before downloads or execution.
Review [events path] and plan J-lens enrichment for [model]. Include shuffled controls, consent for downloads, and separate reporting of latent scores.
Design repeated-seed checks and an intervention for [events path], then propose a filtered local DPO export. Separate observational findings from causal evidence.
Auteur
lambdasecLicence
Apache-2.0
RĂ©vision Skillstore
r1
Avis de version
Lâauteur nâa dĂ©clarĂ© aucune version.
RĂ©f
87c9669baf85385959f9b0a344dc9dfc8d978f9c
RĂ©cence de maintenance
28/10/2026
Utilisation
0 téléchargements · 0 vues
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