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-platformgit 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-platform)<a href="https://agentmods.dev/skills/mstr-sharma/strategy-automate/strategy-platform"><img src="https://agentmods.dev/badge/skills/mstr-sharma/strategy-automate/strategy-platform/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-platform"><img src="https://agentmods.dev/badge/skills/mstr-sharma/strategy-automate/strategy-platform.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 | $0.00139 | $0.02401 |
| Opus 5.5 | $0.00056 | $0.00960 |
| Sonnet 5.5 | $0.00028 | $0.00480 |
| Haiku 4.5 | $0.00014 | $0.00240 |
Grade A, and why
strategy-platform 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 12d 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategy platform core
Everything else in this repo builds on four modules in skills/strategy-platform/scripts/:
| Script | What it does |
|---|---|
strategy_auth.py |
Signs any script in: password, ldap, anonymous, api-token, sso (browser single sign-on, no password), identity-token, oidc. Caches browser sessions in the OS keychain; logs out with POST /api/auth/logout. CLI: methods, login, status, logout. |
strategy_api.py |
Lists, describes and calls every REST operation in the tenant's own OpenAPI spec, validating each request before it is sent. |
strategy_mcp.py |
Calls the Mosaic MCP server (--server mosaic, default) or the Agent MCP server (--server agent) with the same OAuth single sign-on the MCP connector uses. |
_client.py |
BaseMSTR and helpers shared by the inventory, mining and validation scripts. |
Sign-in details and the REST contracts behind them: memory/reference_strategy_authentication.md. MCP details: memory/reference_mcp_tools.md.
Sign in
export MSTR_BASE=https://<tenant>.strategy.com/MicroStrategyLibrary
python3 skills/strategy-platform/scripts/strategy_auth.py methods # what the tenant enables, what this machine would use
python3 skills/strategy-platform/scripts/strategy_auth.py login # SSO accounts: the human clicks Allow once in the browser
Scripts pick the method with --auth-method / MSTR_AUTH_METHOD (default auto: API token, else user + password, else MSTR_DELEGATE_IDENTITY_TOKEN, else a cached browser session, else a saved API token, else browser SSO). Never type a user's password, never print tokens, never pass secrets as command-line flags.
Call any REST operation
API="python3 skills/strategy-platform/scripts/strategy_api.py"
$API sync # cache the tenant's spec (public + internal operations)
$API tags # every API area, its operation count and owning skill
$API ops --tag Subscriptions # operations in an area (or an owning skill: --tag strategy-distribution)
$API ops --search "security role" # words that must all match id, path or summary
$API describe getUserGroups # parameters, auto-filled headers, body skeleton, responses
$API call getUserGroups -p limit=50 # reads run directly
$API call createUserGroup --body @group.json # writes print the request (dry run) …
$API call createUserGroup --body @group.json --yes # … and run only with --yes
$API call "DELETE /api/usergroups/{id}" -p id=<ID> --yes
What ships with it
4 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.
- 12d ago First seen · 119 lines · 139 tokens per session scan A bbdac2557422
strategy-platform is a skill published in the GitHub repository mstr-sharma/strategy-automate (2 stars, last pushed 2d ago), licensed MIT. It adds 139 tokens to every session and 2,401 once invoked, about $0.0006 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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