ops-codegraph-tool: Skill for Claude Code

.claude/skills/oversee/SKILL.md

oversee is a skill for Claude Code from optave/ops-codegraph-tool. It costs 143 tokens per session (16,726 once invoked), scanned D, original, Apache-2.0.

A controlled workflow for taking one GitHub issue from planning to a reviewed pull request, with a person approving the plan before coding starts.

In plain words
What is it for?
Use it for one issue at a time, especially changes involving architecture, language handling, public interfaces, or other important design decisions.
Why use it?
It adds a clear human checkpoint before work begins and checks the plan and finished changes for problems. This helps when choosing the wrong approach would be costly.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions subagents.

This is optave/ops-codegraph-tool's own configuration. It tells Claude Code how to work on ops-codegraph-tool itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ops-codegraph-tool configures →

Reuse

Borrowing it

Nothing to install: this file belongs to optave/ops-codegraph-tool. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/optave/ops-codegraph-tool/main/.claude/skills/oversee/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/optave/ops-codegraph-tool

Made for: Claude Code.

Wrote 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.

agentmods badge for oversee

README.md
[![agentmods](https://agentmods.dev/badge/skills/optave/ops-codegraph-tool/oversee/github.svg)](https://agentmods.dev/skills/optave/ops-codegraph-tool/oversee)
Your own site
<a href="https://agentmods.dev/skills/optave/ops-codegraph-tool/oversee"><img src="https://agentmods.dev/badge/skills/optave/ops-codegraph-tool/oversee/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.

agentmods 80×15 button for oversee

Your own site · 80×15
<a href="https://agentmods.dev/skills/optave/ops-codegraph-tool/oversee"><img src="https://agentmods.dev/badge/skills/optave/ops-codegraph-tool/oversee.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 143 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 16,726 The whole file, excluding the scripts and references it only reads on demand.
Security scan D 2 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00143 $0.16726
Opus 5.5 $0.00057 $0.06690
Sonnet 5.5 $0.00029 $0.03345
Haiku 4.5 $0.00014 $0.01673

Measured 2mo ago against content hash cacc7e17d925, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade D, and why

oversee scanned grade D with 2 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 2mo 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

3. **Auto-accept ("auto mode") — CONFIRM, not detect.** There is no env var or settings field that reports the **live** permission mode: it is runtime state toggled with shift+Tab. It can only be confirmed, never detecte

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

**Cleanup.** State is safe to re-read and safe to delete: a fresh invocation re-derives everything it needs from GitHub. Remove it with `rm -rf .codegraph/oversee` once the execute PR is merged. Leaving it costs nothing.
.claude/skills/oversee/SKILL.md · 947 lines

How it starts

The opening of the file, as written. The whole thing — 947 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/oversee — human-gated, single-issue delivery for codegraph

/oversee takes one GitHub issue from "nobody has planned this" to "a verified, reviewer-clean PR waiting for a human merge", with exactly one human decision in the middle: does this plan get built? Everything else — planning, adversarial plan review, reviewer sweeps, the build, independent verification, review convergence — runs automatically.

It is the human-in-the-loop counterpart to /fixer. The two are complementary, not interchangeable:

/fixer /oversee
Scope the whole qualifying backlog, in batches exactly one issue
Plan none — solve directly a committed plan doc, reviewed and human-approved before any code
Human decision none until the final report one: tick the approval box
Merge merges each PR itself never merges — the human does

Use /oversee for work where getting the approach wrong is expensive: anything touching the dual-engine boundary, resolution semantics, the language registry, a public API, or an architectural decision. Use /fixer for a backlog of self-contained fixes.

You are split in two:

  • You (this skill) are the gating brain. You preflight the session config, route the run, run a readiness check, drive the human approval gate, verify its provenance, validate plan freshness, and reconcile the reviewer after execution. You never write product code.
  • oversee-dispatch is the execution engine. You hand it one task plus a phase, and it runs that half of the pipeline.
/oversee #<issue>    ─preflight─▶ sync main ─▶ readiness ─▶ PLAN ─▶ critic (advisory, revise-in-place)
                                                                 ─▶ plan-sweep ─▶ [Plan] PR + ✋ approval box ─▶ STOP
                                                                                   │  (a human ticks the box)
/oversee #<plan-PR>  ─preflight─▶ sync main ─▶ box ticked? ─▶ provenance? ─▶ freshness gate (Sonnet subagent)
                                                                 ├─FRESH──▶ EXECUTE (pinned to approved SHA) ─▶ VERIFY ─▶ execute-sweep ─▶ reconcile ─▶ STOP (human merges)
                                                                 ├─NARROW─▶ patch the plan in place ─▶ re-stamp the gate ─▶ STOP (needs a fresh tick)
                                                                 └─STALE──▶ carry-forward ─▶ close the [Plan] PR ─▶ re-PLAN ─▶ STOP (needs a fresh tick)

Two things make this worth running instead of just asking an agent to fix an issue:

  1. A preflight config gate runs before any compute is spent.
  2. The human is the plan gate, and the gate cannot be forged. The critic is advisory — its verdict is printed next to the checkbox, it never auto-advances. EXECUTE runs only after a human ticks the box, and only when a commit status the PR body's author cannot write proves the gate was installed by an /oversee run for that exact plan head.

Read the full file on GitHub · 947 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. 2mo ago First seen · 947 lines · 143 tokens per session scan D cacc7e17d925

Subscribe to this mod's changes

oversee is a skill published in the GitHub repository optave/ops-codegraph-tool (99 stars, last pushed 5d ago), licensed Apache-2.0. It adds 143 tokens to every session and 16,726 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it D with 2 findings (reads agent configuration directories, recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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