Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add KumihoIO/kumiho-plugins --skill kumiho-backfillgit clone --depth 1 https://github.com/KumihoIO/kumiho-pluginsWrote 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/kumihoio/kumiho-plugins/kumiho-backfill)<a href="https://agentmods.dev/skills/kumihoio/kumiho-plugins/kumiho-backfill"><img src="https://agentmods.dev/badge/skills/kumihoio/kumiho-plugins/kumiho-backfill/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/kumihoio/kumiho-plugins/kumiho-backfill"><img src="https://agentmods.dev/badge/skills/kumihoio/kumiho-plugins/kumiho-backfill.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 | $0.00046 | $0.01263 |
| Opus 5 | $0.00023 | $0.00632 |
| Sonnet 5 | $0.00009 | $0.00253 |
| Haiku 4.5 | $0.00005 | $0.00126 |
Grade A, and why
kumiho-backfill 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 4d 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kumiho History Backfill
Turn authorized historical context into useful reviewed memories. Use the host model for distillation and the connected OAuth MCP for storage. No SDK install, separate API key or background process is required. User scope overrides defaults.
Choose accessible input
- In a local Codex or Claude Code environment, read only user-selected session
files or an explicitly authorized date/source selection. A default history
location is not permission to scan it. Codex and Claude Code histories are
separate opt-in sources. A Claude Code session is one top-level
.jsonlfile per conversation; files under a session'ssubagents/folder are not. - In Cowork, use only files the user has shared with the session, such as a copied session file or export in a folder they selected. Do not claim access to history elsewhere on their computer.
- In ChatGPT, use a user-provided export or excerpts that are actually accessible in the conversation. Do not claim access to all prior ChatGPT chats or the user's computer. If file processing is unavailable, accept a small selected excerpt; do not invent a terminal or request a whole archive unnecessarily.
- The helper does not parse a claude.ai account data export. For claude.ai chats, accept small selected excerpts instead.
- Explain that selected text is processed by the current host's model provider; only approved distilled captures are sent to the connected Kumiho workspace. Inspection/extraction does not authorize ingestion.
Prepare and distill
When file execution is available, use the bundled stdlib-only scripts/prepare_backfill.py. Resolve the path from this skill; never assume a repository or installed plugin cache path. Choose an available Python 3.11+ runtime; do not install packages or change authentication.
python <skill>/scripts/prepare_backfill.py prepare --source codex --input <selected.jsonl> --out <new-batch-directory>
python <skill>/scripts/prepare_backfill.py prepare --source chatgpt --input <conversations.json> --conversation <selected-id> --out <new-batch-directory>
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago Changed · +10 lines · +1 tokens per session 34239b51c26e
- 5d ago Changed · -10 lines · -32 tokens per session d18d5c451a7d
- 17d ago First seen · 100 lines · 77 tokens per session scan A 807400b9cc59
kumiho-backfill is a skill published in the GitHub repository KumihoIO/kumiho-plugins (2 stars, last pushed today), licensed MIT. It adds 46 tokens to every session and 1,263 once invoked, about $0.0002 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 2026-09-05.
Other skills, from other repositories
media-ingest
Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.
mem0-oss-to-platform
Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
establishing-project-context
Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.