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 heptameta/heptabase-cli-skills --skill maintain-skillsgit clone --depth 1 https://github.com/heptameta/heptabase-cli-skillsWrote 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/heptameta/heptabase-cli-skills/maintain-skills)<a href="https://agentmods.dev/skills/heptameta/heptabase-cli-skills/maintain-skills"><img src="https://agentmods.dev/badge/skills/heptameta/heptabase-cli-skills/maintain-skills/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/heptameta/heptabase-cli-skills/maintain-skills"><img src="https://agentmods.dev/badge/skills/heptameta/heptabase-cli-skills/maintain-skills.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 | $0.00044 | $0.01263 |
| Opus 5 | $0.00022 | $0.00632 |
| Sonnet 5 | $0.00009 | $0.00253 |
| Haiku 4.5 | $0.00004 | $0.00126 |
Grade C, and why
maintain-skills scanned grade C with 1 finding 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 3d 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- prettier-ignore --> How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Maintain Skills
Apply only the Heptabase repository conventions below. Follow the active agent's normal skill-authoring guidance for general skill structure and writing quality.
Use the canonical locations
- Treat
.claude/skills/<skill-name>/as the canonical source for team-owned repository skills. - Keep
.agents/skillsas a symlink to../.claude/skillsso Codex and other Agent Skills clients discover the same skills. - Do not copy team skills into
.cursor/skills/or.codex/skills/. - Use
convert-cursor-to-claude-skillwhen converting rules, migrating commands, or fixing misplaced skill directories. This skill owns skill content and metadata, not path migration.
Decide the invocation policy
For every new skill, explicitly decide whether the model may invoke it automatically.
For an existing skill, preserve its current invocation policy unless the user asks to change it or the skill's intended behavior has materially changed.
The user's stated invocation choice always wins; you can suggest or ask but not override it. Do not override it with the defaults below.
| Intended behavior | SKILL.md |
agents/openai.yaml |
|---|---|---|
| The agent may load it when relevant | Omit disable-model-invocation, or set it to false |
Omit policy.allow_implicit_invocation, or set it to true |
| Only the user may start it | Set disable-model-invocation: true |
Set policy.allow_implicit_invocation: false |
Because Codex allows implicit invocation by default, a human-invocation-only skill must include both settings and the complete UI metadata described below. An implicitly invocable skill may omit agents/openai.yaml unless it needs Codex UI metadata or dependencies.
When the user has not chosen:
- Prefer model invocation for repository conventions, reference knowledge, and guidance that should apply whenever relevant.
- Consider explicit-only invocation for named workflows whose timing the user is expected to control.
- Do not infer explicit-only invocation only because a workflow uses tools, requires approval, or can cause side effects. Authorization is still checked when the action occurs.
- If the correct invocation behavior is not easy to judge from the skill's purpose, ask the user before finalizing the skill.
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.
- 3d ago Changed · +2 lines 5ccfc5337cc4
- 12d ago First seen · 117 lines · 44 tokens per session scan C 680b6b3ea8b7
maintain-skills is a skill published in the GitHub repository heptameta/heptabase-cli-skills (152 stars, last pushed 5d ago), licensed MIT. It adds 44 tokens to every session and 1,263 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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