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/copilot-history-ingest/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/copilot-history-ingest)<a href="https://agentmods.dev/skills/ystreibel/logseq-wiki/copilot-history-ingest"><img src="https://agentmods.dev/badge/skills/ystreibel/logseq-wiki/copilot-history-ingest/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ystreibel/logseq-wiki/copilot-history-ingest"><img src="https://agentmods.dev/badge/skills/ystreibel/logseq-wiki/copilot-history-ingest.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00120 | $0.01932 |
| Opus 5.5 | $0.00048 | $0.00773 |
| Sonnet 5.5 | $0.00024 | $0.00386 |
| Haiku 4.5 | $0.00012 | $0.00193 |
Grade A, and why
copilot-history-ingest 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 2mo 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 — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Copilot History Ingest — Extraction de Connaissances
Tu extrais les connaissances des conversations GitHub Copilot passées et tu les distilles dans le wiki Logseq. Les conversations sont riches mais bruyantes — ton rôle est de trouver le signal et de le compiler.
Ce skill peut être invoqué directement ou via le routeur wiki-history-ingest
(/wiki-history-ingest copilot).
Avant de commencer
- Lire
~/.logseq-wiki/config(ou.envlocal) →LOGSEQ_VAULT_PATH,COPILOT_HISTORY_PATH(défaut :~/.copilot/session-state),COPILOT_VSCODE_STORAGE_PATH(plateforme-dépendant — demander si absent) - Lire
wiki/_manifest.jsonpour savoir ce qui a déjà été ingéré - Lire
wiki/_master-index.mdpour connaître le contenu existant du wiki
Modes d'ingestion
Mode Append (défaut)
Vérifier wiki/_manifest.json pour chaque fichier source. Traiter uniquement :
- Sessions absentes du manifest (nouvelles sessions)
- Sessions dont
updated_atest plus récent queingested_atdans le manifest
Mode Full
Traiter tout indépendamment du manifest. Utiliser après un wiki-rebuild ou si
l'utilisateur demande explicitement.
Sources de données Copilot
Copilot stocke les données à trois endroits. Scanner les trois.
Source 1 : ~/.copilot/session-state/ (sessions CLI)
~/.copilot/session-state/
├── <session-uuid>/
│ ├── workspace.yaml # Métadonnées (id, cwd, created_at, updated_at)
│ ├── vscode.metadata.json # Contexte VS Code (workspaceFolder, branch, customTitle)
│ ├── events.jsonl # Log complet — tous les tours, tool calls
│ ├── index.md # Résumé de session (écrit en fin de session)
│ ├── checkpoints/
│ │ └── <uuid>.json # title, overview, work_done, technical_details,
│ │ # important_files, next_steps
│ └── files/ # Artifacts produits
└── ...
Source 2 : ~/.copilot/session-store.db (SQLite global)
La source la plus structurée. Tables clés :
sessions — id, cwd, repository, branch, summary, created_at, updated_at
turns — session_id, turn_index, user_message, assistant_response, timestamp
checkpoints — session_id, checkpoint_number, title, overview, work_done,
technical_details, important_files, next_steps
session_files — session_id, file_path, tool_name, turn_index
search_index — FTS5 (content, session_id, source_type, source_id)
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.
- 2mo ago First seen · 205 lines · 120 tokens per session scan A e8da7e4e97bd
copilot-history-ingest is a skill published in the GitHub repository ystreibel/logseq-wiki (5 stars, last pushed 11d ago), licensed MIT. It adds 120 tokens to every session and 1,932 once invoked, about $0.0005 per session on Opus 5.5. 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.
copilot-history-ingest compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| copilot-history-ingestystreibel/logseq-wiki | Skill | 5 | 11d ago | MIT | A | 120 | Claude Code, Codex |
| knowledge-ingestopenclaw/openclaw | Skill | 394k | yesterday | MIT | A | 80 | Claude Code, Codex |
| mem0-oss-to-platformmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 217 | Claude Code, Codex |
| forgetasgeirtj/system_prompts_leaks | Skill | 71k | 2d ago | CC0-1.0 | A | 74 | Claude Code, Codex |
| Cortexdanielmiessler/LifeOS | Skill | 20k | yesterday | MIT | A | 184 | Claude Code |
| memoryopensquilla/opensquilla | Skill | 7.1k | 6d ago | Apache-2.0 | A | 44 | Claude Code, Codex |
| ha-data-storesshiwenwen/hope-agent | Skill | 1.9k | yesterday | MIT | A | 115 | Claude Code, Codex |