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 mstr-sharma/strategy-automate --skill strategy-admingit clone --depth 1 https://github.com/mstr-sharma/strategy-automateWrote 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/mstr-sharma/strategy-automate/strategy-admin)<a href="https://agentmods.dev/skills/mstr-sharma/strategy-automate/strategy-admin"><img src="https://agentmods.dev/badge/skills/mstr-sharma/strategy-automate/strategy-admin/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/mstr-sharma/strategy-automate/strategy-admin"><img src="https://agentmods.dev/badge/skills/mstr-sharma/strategy-automate/strategy-admin.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 | $0.00194 | $0.04898 |
| Opus 5.5 | $0.00078 | $0.01959 |
| Sonnet 5.5 | $0.00039 | $0.00980 |
| Haiku 4.5 | $0.00019 | $0.00490 |
Grade A, and why
strategy-admin 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 2d 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 — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategy administration
Identity, access and environment settings for a Strategy environment, driven through strategy_api.py. Sign-in and the generic find → describe → dry run → --yes loop are in skills/strategy-platform/SKILL.md; this skill adds the admin operations, their bodies and the guard rails. Most operations need an administrator: describe names the privilege an operation requires (DssXmlPrivilegesUseUserManager, …UseSecurityRoleManager, …AdministerEnvironment, …ConfigureServerBasic).
Scope
Owned API areas (strategy_api.py ops --tag strategy-admin):
- Identity: User Management (users, groups, memberships, addresses, quotas, merge), Security Roles (with the privilege catalog), Privilege Management (
bulkUpdate), SCIM, IAM (identity-provider configurations, internal), Multi Tenant. - Environment: System Administration (I-Server and Library settings, auth modes, CORS, cookies, trust relationships, LDAP import, logging, fences, search engine, AI and collaboration server links), Configuration / Configurations / Client Configurations (mostly internal), License, Vault Connection Management, Emails, Notifications, Microsoft Teams App, Desktops, URL Scan.
- Projects and locale: Projects (settings, load-on-startup, locks, status message, quotas, warehouse execution settings), Preferences, Languages, Timezones, Applications, Scope Filters.
Route elsewhere: semantic models, security filters, datasources → build-mosaic-model (plan with strategy-data-modeling); reports, dashboards, Library publications, object ACLs, certification, cubes → strategy-content; subscriptions, schedules, contacts → strategy-distribution; monitors, caches, project load/unload, user connections, telemetry, change journal → strategy-ops; packages, migrations, project duplication → strategy-migration; agents and MCP readiness → strategy-ai; your own sign-in and API token → strategy-platform.
How to work
API="python3 skills/strategy-platform/scripts/strategy_api.py"
$API ops --tag strategy-admin --search "security role" # add --internal to include hidden operations
$API describe updateMembersSecurityRole # parameters, body skeleton, required privilege
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.
- 2d ago Changed · +8 lines 3daca204b5bc
- 12d ago First seen · 197 lines · 194 tokens per session scan A 69fbe50141dc
strategy-admin is a skill published in the GitHub repository mstr-sharma/strategy-automate (2 stars, last pushed 2d ago), licensed MIT. It adds 194 tokens to every session and 4,898 once invoked, about $0.0008 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 2026-10-06.
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