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/openclaw/agent-skills/beamnpx skills add openclaw/agent-skills --skill beamgit clone --depth 1 https://github.com/openclaw/agent-skillsWrote 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/openclaw/agent-skills/beam)<a href="https://agentmods.dev/skills/openclaw/agent-skills/beam"><img src="https://agentmods.dev/badge/skills/openclaw/agent-skills/beam.svg" alt="Measured on agentmods" 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 | $0.00017 | $0.00952 |
| Opus 5 | $0.00009 | $0.00476 |
| Sonnet 5 | $0.00003 | $0.00190 |
| Haiku 4.5 | $0.00002 | $0.00095 |
Grade A, and why
beam 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 4d 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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Beam
Use when the user explicitly asks to beam, publish, or share the current local coding session with an authenticated OpenClaw receiver.
Contract
- Treat invoking this skill as approval for one snapshot upload to the named destination.
- Never upload raw JSONL, reasoning, system/developer prompts, tool output, environment values, credentials, browser state, cookies, or local paths.
- The helper is self-contained: it resolves and parses exact Claude Code or Codex transcripts, then uploads only locally redacted user/assistant messages and compact tool counts.
- Beam is a read-only projection. Do not connect a node, expose a terminal, resume the local harness remotely, or grant the receiver filesystem/tool access.
- Require HTTPS except for loopback development endpoints.
- Authenticate with
BEAM_ACCESS_TOKEN,BEAM_AUTH_TOKEN, or an interactivecloudflared access login. Never print those values. - Live synchronization is opt-in persistent behavior. Do not install hooks unless the user explicitly asks for live Beam updates.
Snapshot
Set or obtain the destination receiver URL first:
export BEAM_ENDPOINT="https://example.internal/api/v1/beam/sessions"
Prefer the harness-specific exact identifier. Resolve the directory containing this SKILL.md as BEAM_SKILL_DIR first.
Claude Code exposes the current session id:
node "$BEAM_SKILL_DIR/scripts/beam" publish \
--endpoint "$BEAM_ENDPOINT" \
--session-id "${CLAUDE_SESSION_ID}"
In Codex, resolve the directory containing this SKILL.md as BEAM_SKILL_DIR; normal shell-tool children expose the current thread id:
node "$BEAM_SKILL_DIR/scripts/beam" publish \
--endpoint "$BEAM_ENDPOINT" \
--thread-id "$CODEX_THREAD_ID"
Prefer exact harness metadata when available:
- Claude Code:
${CLAUDE_SESSION_ID}identifies the current local conversation; the helper finds its transcript. - Codex shell tools:
CODEX_THREAD_IDidentifies the current thread. - Hook adapters: pass their JSON to
beam hook;transcript_pathis authoritative. - Exact fallback: Beam scans only the native Claude/Codex session roots for the supplied id and fails closed on no match or ambiguity.
What ships with it
6 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.
- 4d ago First seen · 94 lines · 17 tokens per session scan A 15abe19c27b2
beam is a skill published in the GitHub repository openclaw/agent-skills (1,070 stars, last pushed 4d ago), licensed MIT. It adds 17 tokens to every session and 952 once invoked, about $0.0001 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…