Sidecar is a terminal-based workspace for running AI coding agents alongside file trees, task issues, Git diffs, and Jira or GitHub resources in split panes. Developers use it to monitor agent sessions, inspect files and changes, manage workspaces, and handle tasks without leaving one shell. The catalogue entries extend or guide coding-agent workflows used with Sidecar.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/marcus/sidecarnpx agentmods add skills/marcus/sidecar/create-adapterWrote 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/marcus/sidecar/create-adapter)<a href="https://agentmods.dev/skills/marcus/sidecar/create-adapter"><img src="https://agentmods.dev/badge/skills/marcus/sidecar/create-adapter/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/marcus/sidecar/create-adapter"><img src="https://agentmods.dev/badge/skills/marcus/sidecar/create-adapter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00078 | $0.04088 |
| Opus 5.5 | $0.00031 | $0.01635 |
| Sonnet 5.5 | $0.00016 | $0.00818 |
| Haiku 4.5 | $0.00008 | $0.00409 |
Grade A, and why
create-adapter 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.
How it starts
The opening of the file, as written. The whole thing — 416 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Adapter
Why Performance Matters
Adapters are the largest performance risk in Sidecar. Conversations refresh on watch events in a hot path that runs continuously during active sessions:
watch event -> coalescer -> session refresh -> adapter.Sessions() -> metadata parsing
If an adapter does full directory scans and full-file reparses on every change, CPU and FD usage spike quickly.
Reference Adapters
Study these before writing a new adapter:
internal/adapter/claudecode- Incremental JSONL parsing, targeted refreshinternal/adapter/codex- Directory cache, two-pass metadata parsing, global watch scopeinternal/adapter/cursor- SQLite/WAL-aware cache invalidation, FD-safe DB accessinternal/adapter/pi- Global scope, JSONL, CWD-based filtering, session classification, message prefix stripping
Required Interface
All adapters implement adapter.Adapter:
type Adapter interface {
ID() string
Name() string
Icon() string
Detect(projectRoot string) (bool, error)
Capabilities() CapabilitySet
Sessions(projectRoot string) ([]Session, error)
Messages(sessionID string) ([]Message, error)
Usage(sessionID string) (*UsageStats, error)
Watch(projectRoot string) (<-chan Event, io.Closer, error)
}
Required Session Fields
Every session from Sessions() must set:
ID,NameAdapterID,AdapterName,AdapterIconCreatedAt,UpdatedAtMessageCount,FileSize
FileSize is used for dynamic debounce and huge-session auto-reload protection.
Treat source identity separately from lineage. Use the source's durable thread/session ID
for Session.ID; parent, root, fork, or lineage IDs describe relationships and must not
collapse distinct sessions. Decode metadata fields defensively when the source has emitted
multiple shapes over time (for example, a string in one version and an object in another).
Path and Watch Strategy
Set Session.Path only when Sidecar should use tiered file watching for that adapter:
- File-based append-only (JSONL/log): set
Pathto absolute file path — this opts into TieredWatcher with HOT/COLD/FROZEN tiers - DB/WAL adapters (Cursor, Warp, Kiro): prefer adapter-specific
Watch()with WAL-aware invalidation; do not setPathunless tiered watching covers your write surface
What ships with it
2 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.
- 1mo ago First seen · 416 lines · 78 tokens per session scan A 342d0e7bc51f
create-adapter is a skill published in the GitHub repository marcus/sidecar (1,091 stars, last pushed 11d ago), licensed MIT. It adds 78 tokens to every session and 4,088 once invoked, about $0.0003 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 2026-08-30.
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