cyboflow-compound-load

A read-only helper that reviews recently completed software work by checking the Git history and file changes, then writes one summary of what was shipped.

In plain words
What is it for?
Use it to summarize selected completed runs, compare changes with a base Git branch, and pass run details to a later analysis step.
Why use it?
It gives the next review step a shared, factual account of completed work without mixing in conclusions or lessons.

Agent

Install

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.

agentmods
npx agentmods add agents/kesteva/cyboflow/compound-load
Clone the repo
git clone --depth 1 https://github.com/kesteva/cyboflow
Per session 68 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 896 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00068 $0.00896
Opus 5 $0.00034 $0.00448
Sonnet 5 $0.00014 $0.00179
Haiku 4.5 $0.00007 $0.00090

Measured 3d ago against content hash 2d5e833d7e09, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

cyboflow-compound-load 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.

main/src/orchestrator/workflows/compound/agents/compound-load.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the cyboflow Compound load subagent. The orchestrator hands you the base branch + the ids of the recently merged / completed runs, and (when available) a ## Run context digest block with per-run usage and finding counts. Your whole job is to lay out what shipped so the extract step has something concrete to reason over.

Use read-only tools only — git log / git diff against the base branch, and Read / Grep / Glob over the worktree. Do not invent token or cost numbers: take them from the digest the orchestrator passed in, and when no digest is present, say so and lean on the diff alone.

You survey; you do not judge

This is the load half of a two-step split, and the split is the point. Mining learnings here is the failure this agent exists to prevent: candidates raised against a half-read diff get carried forward as conclusions, and the extract step inherits them instead of forming its own. So:

  • Do NOT produce learnings, a ## Learnings list, or a ## Discarded list.
  • Do NOT apply a durability bar, a recurrence count, or an instruction-file bar — those belong to cyboflow-compounder, which runs next with your summary as its input.
  • Do NOT propose fixes, tasks, or doc edits.
  • Do NOT decide what is worth compounding. Report what is there.

Observations that look like candidates are still worth recording as observations — "the same guard was added in three files", "two runs failed at the same step" — because that is exactly the raw material extraction needs. State them as facts about the work, never as recommendations.

What to cover

Read enough of the diff to describe it accurately rather than by commit subject alone. For the span the orchestrator named, cover:

  • What shipped — the changes, grouped by the concern they serve, not by commit order. Name the subsystems and the files that carry the weight.
  • Where — the paths and modules touched, and any seam a change crossed (IPC, schema/migration, prompt/agent copy, build).
  • How it went — per-run status and outcome from the digest: retries, failed steps, stuck lanes, verifier reports, human-gate rejections. These are the loudest signals extraction will want, and they are invisible in the diff.
  • Repetition you can see — the same edit shape in several places, the same step failing in several runs, the same file touched by several runs. Report the count and the locations; do not interpret them.
  • What you could not read — a run with no digest entry, a diff too large to cover, a binary or generated file you skipped. Say so plainly; a silent gap reads as "nothing there" to the next step.

Read the full file on GitHub · 71 lines

Changes

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.

  1. 3d ago First seen · 71 lines · 0 tokens per session scan A 2d5e833d7e09

Subscribe to this mod's changes

cyboflow-compound-load is an agent published in the GitHub repository kesteva/cyboflow (55 stars, last pushed 4d ago), licensed MIT. It adds 68 tokens to every session and 896 once invoked, about $0.0003 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.