Compétences mantis-structural-index
đŠ
mantis-structural-index
RĂ©vision du contenu r1 Risque Ă©levĂ© âïž Commandes externesđ AccĂšs au systĂšme de fichiers
Build Snapshot-Aware Source Code Indexes
Large source trees make symbol navigation and caller discovery expensive. This skill guides structural indexing with reusable caches and coverage-aware queries while preserving lexical discovery.
Prend en charge: Claude Codex Code(CC)
ArrĂȘtez-vous et demandez confirmation avant lâinstallation.
Examinez le plan et obtenez le consentement explicite de lâutilisateur avant de modifier des fichiers.
Installer avec mon Agent
Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.
Demande dâagent
Review the Skillstore skill "mantis-structural-index" from https://skillstore.io/skills/google-mantis-structural-index.md and its manifest at https://skillstore.io/api/skills/google-mantis-structural-index/manifest. Verify the artifact. Stop and obtain explicit user consent before installing or changing files.Votre Agent doit toujours présenter son plan et demander toute confirmation exigée par la politique de sécurité.
Ressources lisibles par les agents
Utilisez ces liens lorsquâun Agent IA, un crawler ou un script a besoin dâun contexte propre au lieu de lire toute la page.
Tester
Utilisation de « mantis-structural-index ». Illustrative request: index a live repository using only a heuristic backend.
RĂ©sultat attendu:
- Snapshot provenance: unknown; a fresh build is required.
- Backend precision: heuristic; structural matches remain advisory.
- Returned artifacts: manifest, SQLite catalog, and query helper.
- Coverage summary distinguishes indexed, deferred, and failed files.
Utilisation de « mantis-structural-index ». Illustrative request: find callers when the relevant partition is only partially indexed.
RĂ©sultat attendu:
- Result status: no indexed callers; coverage is partial.
- This does not establish that the function has no callers.
- Run lexical discovery and retain all candidates alongside structural hints.
Audit de sécurité
Risque élevév1 ⹠04/10/2026 Ouvrir le rapport versionné
All 225 static matches are documentation syntax or legitimate indexing operations, not the reported threats. Semantic review identifies forgeable helper-version checks and missing remote-query disclosure controls. No evidence found of malicious payloads, credential theft, or audit-directed prompt injection in the supplied skill.
1
Fichiers analysés
747
Lignes analysées
0
ĂlĂ©ments Ă examiner
0
Faux positifs ignorés
Préoccupations de sécurité confirmées (2)
ĂlevĂ©
Helper Reuse Relies on a Forgeable Version Marker
Existing executable helpers are reused after checking only the marker '# MANTIS_HELPER_VERSION = 5'. An attacker who can modify workspace helpers can retain that marker and substitute code executed during indexing or queries.
The instructions explicitly permit helper reuse based on a public version comment without requiring content integrity or trusted ownership. Exploitation requires workspace write access; no actual substituted helper was supplied.
Moyen
Remote Queries Lack an Explicit Data-Disclosure Boundary
Remote query providers can be selected through MANTIS_STRUCTURAL_INDEX_URL or manifest configuration. Symbol and file queries may disclose repository metadata without required endpoint approval, transport protection, or a data-sharing policy.
The specification offers remote access to operations accepting symbol names and file paths but states no explicit endpoint or disclosure restrictions. No evidence found of a malicious destination or implemented transfer; this is a conditional design risk.
Facteurs de risque
âïž Commandes externes (50)
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đ AccĂšs au systĂšme de fichiers (9)
Audité par: codex
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Copier le lien du rapport
https://skillstore.io/skills/google-mantis-structural-index/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportBadge Markdown
[](https://skillstore.io/skills/google-mantis-structural-index?utm_source=security_passport_badge)Badge HTML
<a href="https://skillstore.io/skills/google-mantis-structural-index?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/google-mantis-structural-index/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Carte intégrable
<iframe src="https://skillstore.io/embed/skills/google-mantis-structural-index.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Citations académiques (APA · BibTeX · CFF)
Citation APA
google. (2026). mantis-structural-index security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/google-mantis-structural-index/audits/1Citation BibTeX
@techreport{google-google-mantis-structural-index-2026,
author = {google},
title = {mantis-structural-index security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/google-mantis-structural-index/audits/1},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "mantis-structural-index security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "google"
date-released: "2026-10-04"
url: "https://skillstore.io/skills/google-mantis-structural-index/audits/1"
identifiers:
- type: other
value: "skillstore:google-mantis-structural-index:audit:1"
description: "Skillstore immutable audit report identifier"
Score Skillstore
Pourquoi ce score Niveau de confiance des preuves: Moyen 55
Architecture
85
Maintenabilité
87
Contenu
65
Communauté
83
Conformité aux spécifications
Ce que vous pouvez créer
Navigate an Unfamiliar Codebase
Build source cross-references, resolve ambiguous symbols, and locate enclosing functions before reading implementation details.
Prioritize Security Research
Rank candidate call sites with structural hints while retaining every candidate found through repository-wide lexical discovery.
Reuse Indexing Work Across Snapshots
Reuse unchanged semantic units and report coverage, provenance, and deferred work for repeated analysis runs.
Essayez ces prompts
Index the Current Repository
Build a local structural index for the current repository. Use unknown snapshot provenance, report coverage and backend precision, and preserve source files.
Resolve a Symbol and Its Callers
Resolve [symbol name] in [language or file]. Ask me to disambiguate matches, then list paginated caller hints with precision and coverage. Include lexical candidates.
Index a Pinned Snapshot
Index [snapshot root] using [snapshot ID] and [state root]. Verify provenance, reuse matching units, keep the snapshot read-only, and report deferred partitions.
Plan a Large Incremental Build
Index [snapshot root] locally with approved backends and verified helpers. Prioritize [target files] and changed units within [unit and byte limits]. Report reuse, remaining work, and coverage without excluding lexical candidates.
Bonnes pratiques
- Validate snapshot provenance and keep generated artifacts outside pinned source trees.
- Verify helper integrity before execution and approve any remote provider before sharing repository metadata.
- Inspect precision and coverage, disambiguate symbols, and combine structural results with lexical discovery.
Ăviter
- Treating an empty structural query as proof that no callers exist.
- Reusing an unknown-snapshot index against a mutable live tree.
- Executing modified helpers solely because their version comment matches.
Foire aux questions
Does this skill include executable indexing scripts?
No. The supplied file defines instructions and contracts. The agent generates builder and query helpers at runtime.
Can it run without a pinned snapshot?
Yes. It indexes the current directory with unknown provenance and rebuilds on every invocation.
Which indexing backends can it use?
It selects available backends per partition, including matched native indexes, compiler extractors, AST parsers, symbol tools, heuristics, and lexical fallback.
Does it replace repository-wide lexical searches?
No. Structural results are advisory. Consumers must retain lexical candidates and combine both result sets.
Can it analyze vulnerabilities or generate patches?
No. Its scope is source cross-reference data. Findings analysis, patching, reporting, and production build reachability are outside its scope.
Does it send repository information to remote services?
Local indexing does not require a remote provider. Optional remote queries can disclose symbol and file metadata; approve the destination before enabling them.