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 fmind/dot --skill skillifygit clone --depth 1 https://github.com/fmind/dotWrote 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/fmind/dot/skillify)<a href="https://agentmods.dev/skills/fmind/dot/skillify"><img src="https://agentmods.dev/badge/skills/fmind/dot/skillify/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/fmind/dot/skillify"><img src="https://agentmods.dev/badge/skills/fmind/dot/skillify.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 | $0.00022 | $0.00901 |
| Opus 5.5 | $0.00009 | $0.00360 |
| Sonnet 5.5 | $0.00004 | $0.00180 |
| Haiku 4.5 | $0.00002 | $0.00090 |
Grade A, and why
skillify 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 yesterday.
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 — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skillify
Capture what this session learned as a skill the next session can run without the conversation. Use the host's native authoring tools for package mechanics; this skill owns workflow extraction, personal conventions, and the catalog package rules.
Workflow
- Extract from the session: the goal, the user's trigger phrases, the exact commands that worked (with flags), the decisions and why, the dead ends, and the tools required; drop session-specific paths, one-off values, and secrets.
- Apply the admission rule: in package rules, first extend an existing owner or use project scope. A new global entry needs a distinct recurring trigger, demonstrated behavioral value, and space within the discovery and instruction budgets. If only general product knowledge remains, use documentation instead.
- Check the catalog:
skills listandskills list -g(previewgh skill listalso scans every host directory), then read any neighbor with an overlapping description; extend it when the workflow is the same, write a new skill only for a distinct trigger, and link neighbors instead of copying them. - Choose the scope:
- Global (reusable, tool-generic):
~/.agents/skills/<name>/, theskills/directory of the dot repository, whosedot-skillsskill owns registration (link declaration) andmise run check:skills. Installation or tooling changes also need their affected tests. - Local (repository-specific commands, data, or conventions):
.agents/skills/<name>/in the project; add.claude/skills -> ../.agents/skillsif missing per agent-project. In the dot repository, local skills also register throughdot-skills.
- Global (reusable, tool-generic):
- Write from the template: copy skill.md and apply the size and output-efficiency rules in package rules; long configs and examples go to
references/. - Validate: frontmatter
nameequals the directory, every link resolves, every resource is reachable from its owner, andmise run check:skillspasses for a global skill. - Test behavior: follow the adoption check for substantial additions or routing changes: a natural trigger, a neighboring task, and an observable outcome in an isolated fixture. Keep paid or external effects within scope and report unavailable host validation separately.
- Report: the path, the description, and the scope.
What ships with it
5 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.
- yesterday Changed c9a2b2aec121
- 7d ago Changed a51467ccee84
- 10d ago Changed 64f90797c226
- 12d ago Changed f9b15b3033d8
- 14d ago Changed 260b5730d212
- 15d ago Changed · -1 lines · +6 tokens per session da56800364b1
- 23d ago Changed 833534170e53
- 29d ago Changed c2d4e3b8ef2e
- 1mo ago Changed · +2 lines · -22 tokens per session 9ee52a97be0a
- 1mo ago First seen · 44 lines · 38 tokens per session scan A d0fc0e1a521c
skillify is a skill published in the GitHub repository fmind/dot (12 stars, last pushed today), licensed MIT. It adds 22 tokens to every session and 901 once invoked, about $0.0001 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 2026-09-03.
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