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 5.5 | $0.00018 | $0.00505 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo ago Changed · +10 lines · +1 tokens per session 34239b51c26e
- 1mo ago Changed · -10 lines · -32 tokens per session d18d5c451a7d
- 2mo 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 5d ago), licensed MIT. It adds 46 tokens to every session and 1,263 once invoked, about $0.0002 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 2026-09-05.
kumiho-backfill compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| kumiho-backfillKumihoIO/kumiho-plugins | Skill | 2 | 5d ago | MIT | A | 46 | Claude Code, Codex |
| knowledge-ingestopenclaw/openclaw | Skill | 394k | today | MIT | A | 80 | Claude Code, Codex |
| mem0-oss-to-platformmem0ai/mem0 | Skill | 69k | yesterday | Apache-2.0 | A | 217 | Claude Code, Codex |
| forgetasgeirtj/system_prompts_leaks | Skill | 71k | today | CC0-1.0 | A | 0 | Claude Code, Codex |
| Cortexdanielmiessler/LifeOS | Skill | 20k | 2d ago | MIT | A | 184 | Claude Code |
| memoryopensquilla/opensquilla | Skill | 7.1k | 2d ago | Apache-2.0 | A | 44 | Claude Code, Codex |
| ha-data-storesshiwenwen/hope-agent | Skill | 1.9k | today | MIT | A | 115 | Claude Code, Codex |