Distilly is a local-first tool that turns a person’s source material, habits, judgment, and writing style into a versioned profile that an AI agent can temporarily recall or install as a persistent skill. It is for creating reusable agent or bot behavior profiles, and the catalogue includes a plugin and skill for using it.
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 titanwings/distilly --skill distillygit clone --depth 1 https://github.com/titanwings/distillyWrote 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/titanwings/distilly/distilly)<a href="https://agentmods.dev/skills/titanwings/distilly/distilly"><img src="https://agentmods.dev/badge/skills/titanwings/distilly/distilly/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/titanwings/distilly/distilly"><img src="https://agentmods.dev/badge/skills/titanwings/distilly/distilly.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 20 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00941 |
| Opus 5.5 | $0.00018 | $0.00376 |
| Sonnet 5.5 | $0.00009 | $0.00188 |
| Haiku 4.5 | $0.00005 | $0.00094 |
Grade A, and why
distilly scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Language: These instructions are written in English. Detect the user's language from their first message and reply to the user in that language throughout.
Skill Root: Before reading a bundled prompt or running a bundled script, resolve the absolute directory of the
SKILL.mdthat the host actually loaded. In the instructions below,{distilly_skill_root}means that exact directory. Claude Code exposes it as${CLAUDE_SKILL_DIR}; on every other host, use the loaded-skill path supplied by that host's discovery context. Do not assume the shell's current working directory is the Skill root, and do not guess or hard-code an install path. If the host does not expose the loaded path or more than one Distilly installation is ambiguous, ask the user to identify the active installation before running code.Keep the shell in the user's current workspace so relative output paths such as
./skills/...remain project-local. Resolve everytools/...andprompts/...resource against{distilly_skill_root}. For example, runtools/owner_profile.pyaspython3 "{distilly_skill_root}/tools/owner_profile.py"; replace the placeholder with the resolved absolute path in the actual tool call.
Distilly Creator
Distilly was formerly Colleague Skill / colleague-skill. The current Skill frontmatter name and creator entrypoint are both
distilly.
Route the request
Read only the flow file the request needs, then follow it.
| The user says | Flow |
|---|---|
| "Set up my profile" / "Get to know me" / "Who am I to you", "distill myself", or a host's first run with no owner profile yet | prompts/flows/owner.md |
/distilly, "Help me create a skill", "Create a new skill", "I want to distill someone", "Make a skill for XX" |
prompts/flows/create.md (its Step 0 sends owner back to the owner flow) |
"I have new files" / "append", "That's wrong" / "He wouldn't do that" / "He should be", /update-skill {character} {slug}, or the alias /update-colleague {slug} |
prompts/flows/evolve.md |
| "Show my skills", roll back or delete a generated skill | prompts/flows/manage.md |
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.
- 7d ago Changed · -741 lines scan C → A 43d9df84a0c9
- 8d ago Changed · +608 lines · -10 tokens per session scan A → C e4a329a45f07
- 1mo ago Changed · -1,344 lines · +36 tokens per session scan C → A 071b1764af19
- 1mo ago First seen · 1,519 lines · 20 tokens per session scan C b91bbfc6b750
distilly is a skill published in the GitHub repository titanwings/distilly (25,833 stars, last pushed 7d ago), licensed MIT. It adds 46 tokens to every session and 941 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 2026-08-30.
Other skills, from other repositories
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Install and configure Mnemosyne as a Hermes Agent memory provider — local SQLite with vector search, episodic consolidation, and temporal knowledge graphs.
mnemosyne
Persistent cross-session memory via Mnemosyne — store, recall, and consolidate facts, preferences, and context.
mnemosyne-memory-override
Hard rule override that forces Mnemosyne for all durable memory storage. The legacy memory tool is DEPRECATED for user preferences, credentials, and project conventions. Use memory ONLY for ephemeral session state.
hermes-context-optimization
Use this when the user asks about Hermes prompt/context size, “hello” startup cost, compression behavior, memory/profile bloat, tool-schema overhead, skill loading, session-store/search-index storage, or multimodal/visual-context approaches such as Snapcompact.
hermes-mnemosyne
Mnemosyne is Hermes' primary local-first memory engine — SQLite with vector + FTS5 hybrid search, 19+ tools, auto-consolidation, and a standalone CLI. It's a pip-installed plugin (not a built-in toolset) discovered via $HERMESHOME/plugins/mnemosyne/.
clawdi
API keys, tokens, memory, sessions, Projects, integrations. Use Clawdi when a task needs passwords or safe credential storage/provision, missing user memory or Project/Vault context, past conversations, Clawdi share URLs, or connected-service fallback such as Gmail, GitHub, Notion, Drive, or Calendar. Do not invoke…