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 agentmods add skills/extra-org/extra/sidecar-auth-contextnpx skills add extra-org/extra --skill sidecar-auth-contextgit clone --depth 1 https://github.com/extra-org/extraWhat 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 | $0.00041 | $0.00486 |
| Opus 5 | $0.00020 | $0.00243 |
| Sonnet 5 | $0.00008 | $0.00097 |
| Haiku 4.5 | $0.00004 | $0.00049 |
Grade A, and why
sidecar-auth-context 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 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.
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
Skill: Plugin Context & Access
When to use this skill
Use this when working on resolver plugins, the fixed access plugin contract,
mapping resolver outputs into ExecutionContext, or protected-node filtering.
Primary task: tasks/0006-sidecar-auth-context.md.
Files to read first
AGENTS.mddocs/SIDECAR_CONTEXT_AUTH.mddocs/ARCHITECTURE.mddocs/PROMPT_RENDERING.md
Architecture rules
- The runtime contains no customer-specific auth/business logic.
- Resolver plugins fill prompt variables before a node runs.
- Tool plugins are separate and run during LLM execution.
- Protected nodes are hidden from routers unless the access plugin allows them.
- Access failures fail closed.
- Secrets are redacted in traces.
Implementation rules
- Implement plugin integration in
src/agentplatform/context. - Build
ctxfrom request headers and request data. - Call resolver plugin methods declared in top-level
resolvers. - If any node has
protected: true, requireplugins/access.pywithAccessResolver.can_access(ctx, node_id) -> bool. - Keep plugin instances shared where appropriate; keep request data on
ExecutionContext.
Validation checklist
- No customer-specific logic in the runtime.
- Resolver outputs are request-scoped.
- Protected nodes are filtered before routing.
- Deny/error cases fail closed and are traced.
- Secrets redacted in traces.
- Tests use fake plugins covering allow/deny/error.
-
make checkpasses.
Common mistakes to avoid
- Implementing auth/tenant/business rules inside the engine.
- Failing open when access plugin raises.
- Exposing resolver plugins to the LLM as tools.
- Logging raw tokens/secrets in the trace.
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 First seen · 64 lines · 41 tokens per session scan A 1fefbee9299b
sidecar-auth-context is a skill published in the GitHub repository extra-org/extra (108 stars, last pushed 5d ago), licensed MIT. It adds 41 tokens to every session and 486 once invoked, about $0.0002 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 2026-08-30.
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