Borrowing it
Nothing to install: this file belongs to ystreibel/logseq-wiki. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ystreibel/logseq-wiki/main/.skills/wiki-context-pack/SKILL.mdgit clone --depth 1 https://github.com/ystreibel/logseq-wikiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ystreibel/logseq-wiki/wiki-context-pack)<a href="https://agentmods.dev/skills/ystreibel/logseq-wiki/wiki-context-pack"><img src="https://agentmods.dev/badge/skills/ystreibel/logseq-wiki/wiki-context-pack.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00094 | $0.01322 |
| Opus 5 | $0.00047 | $0.00661 |
| Sonnet 5 | $0.00019 | $0.00264 |
| Haiku 4.5 | $0.00009 | $0.00132 |
Grade A, and why
wiki-context-pack scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Logseq Context Pack — Agrégation de Contexte Bounded
Ce skill produit un condensé structuré et limité en jetons du savoir contenu dans le wiki pour nourrir un autre agent, un sous-agent ou une tâche d'implémentation spécifique.
Avant de commencer
- Résoudre la configuration : Charger
.envou~/.logseq-wiki/configpour obtenirLOGSEQ_VAULT_PATH. - Lire
wiki/_master-index.mdpour connaître l'inventaire des pages physiques. - Lire
wiki/hot.mdsi présent pour le contexte récent.
Formes d'invocation
/wiki-context-pack "concepts/attention-mechanism" --budget 16000
/wiki-context-pack "mon-projet architecture" --budget 8000
/wiki-context-pack --recent --budget 4000
/wiki-context-pack "pattern auth" # budget par défaut : 8000 tokens
Paramètres :
- topic : Terme ou page cible à packager.
--budget N: Budget maximum en tokens (défaut : 8000, max : 100000).--recent: Packager l'activité récente (pages triées parupdated::descendant).
Algorithme de Packaging
Étape 1 : Calcul de pertinence (léger)
- Parcourir l'index et les propriétés en tête de fichier pour attribuer un score de pertinence :
- +5 : Match exact avec le titre ou un alias.
- +3 : Présence du tag recherché.
- +2 : Présence du terme dans la propriété
summary::.
- En mode
--recent: Prendre les 20 pages wiki les plus récemment mises à jour (updated::). - En mode thématique : Sélectionner les 20 meilleures pages selon le score.
Étape 2 : Filtrage par Tiers (Importance Tiering)
Trier les 20 candidats selon leur score de pertinence, puis par tier (selon tier:: défini dans llm-wiki/SKILL.md) :
- Pages
tier:: coreen premier. - Pages
tier:: supportingensuite. - Pages
tier:: peripheralen dernier.
Étape 3 : Compression du contenu
Pour chaque page sélectionnée, générer sa représentation compressée :
- Obligatoire : titre,
tier::,tags::,summary::(très économique, issu des premières lignes). - Si le budget restant le permet : ajouter le corps de la page dépouillé de :
- Son bloc de propriétés head (déjà lu ci-dessus).
- Sa section
## Liensou## Sources(qui sera résumée sur une ligne). - Les puces redondantes avec d'autres pages déjà intégrées.
- Estimer la taille en tokens :
caractères / 4.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 114 lines · 94 tokens per session scan A 91651f8284a2
wiki-context-pack is a skill published in the GitHub repository ystreibel/logseq-wiki (4 stars, last pushed 10d ago), licensed MIT. It adds 94 tokens to every session and 1,322 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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