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 daddia/claude-for-strategy --skill skill-installergit clone --depth 1 https://github.com/daddia/claude-for-strategyWrote 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/daddia/claude-for-strategy/skill-installer)<a href="https://agentmods.dev/skills/daddia/claude-for-strategy/skill-installer"><img src="https://agentmods.dev/badge/skills/daddia/claude-for-strategy/skill-installer/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/daddia/claude-for-strategy/skill-installer"><img src="https://agentmods.dev/badge/skills/daddia/claude-for-strategy/skill-installer.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 | $0.00075 | $0.05158 |
| Opus 5 | $0.00037 | $0.02579 |
| Sonnet 5 | $0.00015 | $0.01032 |
| Haiku 4.5 | $0.00007 | $0.00516 |
Grade A, and why
skill-installer 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 5d 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 — 451 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/strategy-builder-hub:skill-installer
When to use
Install community skill — allowlist, raw SKILL.md, trust check, skills-qa, explicit yes before any write.
What this skill does not do
- Does not install without fresh typed yes.
- Does not skip raw SKILL.md display.
- Does not bypass restrictive allowlist.
Preconditions
| Input | If missing |
|---|---|
| Allowlist read first | Refuse unknown sources in restrictive mode |
| Skill name or URL | Ask |
| skills-qa on candidate | Run before install |
Provisional mode
N/A — approval gate always required.
Trust spine
Governance-tracking; read-only subagent for analysis when possible; human-in-the-loop install.
A note on the limits of AI-mediated trust
This skill is a sequence of instructions to Claude. Claude reads the third-party SKILL.md as part of that sequence. A sufficiently clever prompt injection in a third-party SKILL.md could attempt to tell Claude to skip the raw-source display, report a clean scan, or write files before the approval step. The mitigations in this skill reduce that risk but cannot fully eliminate it:
- The allowlist gate (Step 1) is enforced on metadata the user provided — the registry URL and publisher — not on anything the skill says about itself. Restrictive mode refuses unknown sources before any third-party content is read into context.
- The raw SKILL.md display (Step 3) is a visible artifact — the user can read the file themselves. If Claude's summary disagrees with the raw content, the user has the evidence to notice.
- The approval prompt (Step 5) is human-in-the-loop — no file writes happen until the user says yes in their own words.
For the strongest guarantee: run the fetch and analysis in a read-only context (a subagent with Read/WebFetch only — no Write, no Bash, no MCP). That way a successful injection has nothing to exploit even if it suppresses the UI. The install step (Step 6) is the first time elevated tools are needed; gate it on a fresh, explicit "yes" from the user in their own words.
What ships with it
3 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.
- 5d ago First seen · 451 lines · 75 tokens per session scan A cc259ee4e8c5
skill-installer is a skill published in the GitHub repository daddia/claude-for-strategy (2 stars, last pushed 2mo ago), licensed MIT. It adds 75 tokens to every session and 5,158 once invoked, about $0.0004 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 2026-09-03.
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