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 CodeInfinity1/Stram --skill agent-coregit clone --depth 1 https://github.com/CodeInfinity1/StramWrote 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/codeinfinity1/stram/agent-core)<a href="https://agentmods.dev/skills/codeinfinity1/stram/agent-core"><img src="https://agentmods.dev/badge/skills/codeinfinity1/stram/agent-core/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/codeinfinity1/stram/agent-core"><img src="https://agentmods.dev/badge/skills/codeinfinity1/stram/agent-core.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 | $0.00028 | $0.00459 |
| Opus 5.5 | $0.00011 | $0.00184 |
| Sonnet 5.5 | $0.00006 | $0.00092 |
| Haiku 4.5 | $0.00003 | $0.00046 |
Grade A, and why
agent-core 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 1mo 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.
What it actually says
Agent Core
Purpose
Use this parent skill when a request is about the agent's own operating loop: memory, goals, priorities, approvals, safety, autonomy, task tracking, system state, or capability health.
Hierarchy Reading Rules
- Read this parent first to choose the smallest relevant child skill.
- Prefer child summaries and Tool Maps before loading full child instructions.
- Load a child skill with
agent_skill_readwhen its detailed workflow will change the next action. - Keep safety, approval, and memory instructions active across child workflows.
Tool Map
agent-access-controlagent-self-assessmentagent-self-reflectionambient-room-contextapproval-gated-external-actionsaudit-trail-reviewautonomous-loop-operationsbot-loop-protectioncapability-auditcapability-surfacesfocus-and-priority-reviewmemory-metabolismpersona-evolutionprompt-injection-screeningsecrets-handlingsession-wrap-upsystem-health-checktask-trackingtaskflowwakeup-scheduling
Child Skill Guide
- Use access, approvals, prompt-injection, bot-loop, and secrets skills for safety boundaries before high-risk or external actions.
- Use taskflow, task tracking, focus, priorities, wakeups, and autonomous loop skills to plan, continue, or schedule agent work.
- Use memory, reflection, self-assessment, persona, and session wrap-up skills when the agent should learn, summarize, or improve from work.
- Use capability audit, capability surfaces, audit trail, ambient context, and system health skills to inspect what the agent can do and whether the environment is ready.
Verification
- Do not claim durable learning, approval, or scheduling happened unless the relevant child tool or child skill produced evidence.
- Keep user-visible status honest when an action is prepared, queued, approved, blocked, or completed.
What ships with it
23 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.
- agent-access-control/SKILL.md 1.9 KB
- agent-self-assessment/SKILL.md 3.3 KB
- agent-self-reflection/SKILL.md 3.1 KB
- ambient-room-context/SKILL.md 2.8 KB
- approval-gated-external-actions/SKILL.md 1.9 KB
- audit-trail-review/SKILL.md 1.7 KB
- autonomous-loop-operations/SKILL.md 3.4 KB
- bot-loop-protection/SKILL.md 2.7 KB
- capability-audit/SKILL.md 3.1 KB
- capability-surfaces/SKILL.md 5.2 KB
- focus-and-priority-review/SKILL.md 3.0 KB
- memory-metabolism/SKILL.md 3.1 KB
- persona-evolution/SKILL.md 3.1 KB
- prompt-injection-screening/SKILL.md 2.4 KB
- secrets-handling/scripts/redact_text.py 1.4 KB runs code
- secrets-handling/SKILL.md 1.9 KB
- session-wrap-up/references/REFERENCE.md 616 B
- session-wrap-up/SKILL.md 2.6 KB
- system-health-check/scripts/check_readiness.py 1.8 KB runs code
- system-health-check/SKILL.md 2.8 KB
- task-tracking/SKILL.md 3.2 KB
- taskflow/SKILL.md 2.7 KB
- wakeup-scheduling/SKILL.md 3.1 KB
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.
- 1mo ago First seen · 53 lines · 28 tokens per session scan A bc03da4bfd0c
agent-core is a skill published in the GitHub repository CodeInfinity1/Stram (11 stars, last pushed 2mo ago), licensed MIT. It adds 28 tokens to every session and 459 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 2026-08-31.
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