delegate-analysis

delegate-analysis is a skill for Claude Code, Codex from DasDigitaleMomentum/opencode-processing-skills. It costs 39 tokens per session (602 once invoked), scanned A, original, MIT.

A guided method for having another agent investigate code, documents, or research questions. It defines focused modes such as code exploration, targeted reading, web research, and deeper investigation.

In plain words
What is it for?
It is for exploring selected code, reading named files, researching authoritative sources, tracing dependencies, and reporting findings with uncertainty and evidence.
Why use it?
It keeps delegated research focused and makes the results easier to verify by requiring concrete evidence, such as file paths, symbols, or source links.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions OpenCode.

Good fit It is for exploring selected code, reading named files, researching authoritative sources, tracing dependencies, and reporting findings with uncertainty and evidence.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dasdigitalemomentum/opencode-processing-skills/delegate-analysis
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.

Any agent
npx skills add DasDigitaleMomentum/opencode-processing-skills --skill delegate-analysis
Clone the repo
git clone --depth 1 https://github.com/DasDigitaleMomentum/opencode-processing-skills

Made for: Claude Code, Codex.

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 delegate-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/dasdigitalemomentum/opencode-processing-skills/delegate-analysis/github.svg)](https://agentmods.dev/skills/dasdigitalemomentum/opencode-processing-skills/delegate-analysis)
Your own site
<a href="https://agentmods.dev/skills/dasdigitalemomentum/opencode-processing-skills/delegate-analysis"><img src="https://agentmods.dev/badge/skills/dasdigitalemomentum/opencode-processing-skills/delegate-analysis/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 delegate-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/dasdigitalemomentum/opencode-processing-skills/delegate-analysis"><img src="https://agentmods.dev/badge/skills/dasdigitalemomentum/opencode-processing-skills/delegate-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 602 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00039 $0.00602
Opus 5.5 $0.00016 $0.00241
Sonnet 5.5 $0.00008 $0.00120
Haiku 4.5 $0.00004 $0.00060

Measured 1mo ago against content hash 897ae88ee3ee, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

delegate-analysis 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.

skills/delegate-analysis/SKILL.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: Delegate Analysis

Use one of the following modes. The primary should name the mode, scope, and question explicitly.

Modes

code-exploration

  • Orient with file search, then read only the key files.
  • Trace dependencies one level further only when needed.
  • Return findings with concrete file paths and symbols.

targeted-reading

  • Use the named files as scoped starting points and retrieve only what answers the question.
  • Extract only the facts needed to answer the question.
  • Organize the result by topic or file, with line references where useful.

web-research

  • Prefer authoritative primary sources.
  • Cross-check important claims when practical.
  • Return a concise synthesis with source URLs and explicit uncertainty.
  • This is delegate work: use retriever only to crawl or fetch already-selected sources, not for open-ended search, source selection, or cross-source judgment.

deep-dive

  • Start at the named entry point and follow relevant indirections until the question is answered.
  • Map the code or data path with file and symbol evidence.
  • Highlight non-obvious behavior, assumptions, and unresolved gaps.

Rules

  • Default to read/analyze/verify. Do not edit files.
  • Stay within the delegated scope.
  • Directly read scoped source, docs/plans, symbols, and compact targeted evidence. Keep uncurated bulk evidence out of the delegate context: use a reliable focused filter when sufficient; otherwise route the raw artifact, command, or path plus a focused question to retriever, including coherent multi-file evidence. Numeric tool truncation is a safety net, not the routing rule.
  • Spool potentially verbose command output to a predictable path under /tmp/opencode/; retain only path, command, exit status, and compact metadata/evidence. This supports same-machine continuation after an interruption, not reboot durability.
  • The parent owns synthesis and verifies only evidence that materially supports its conclusions rather than repeating broad retrieval.
  • If the task becomes a review, artifact authoring task, or implementation task, stop and ask the primary to route through the matching skill.
  • After an analysis digest/message diagnoses an evidence-backed defect, the Primary may accept it and explicitly instruct remediation by resuming this session through review-fix. That skill owns eligibility, writes, and the one-pass stop; analysis itself remains read-only. Reuse correct and sufficient diagnosis context to avoid collecting secured evidence again; otherwise follow its fresh-session fallback with a finding-source hint. Conversation-owned plan corrections still route to update-plan.
  • Return a compact digest, not raw file contents or long logs.

Read the full file on GitHub · 52 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. 1mo ago Changed · +1 lines 897ae88ee3ee
  2. 1mo ago First seen · 51 lines · 39 tokens per session scan A 3f93cf0749ad

Subscribe to this mod's changes

delegate-analysis is a skill published in the GitHub repository DasDigitaleMomentum/opencode-processing-skills (60 stars, last pushed yesterday), licensed MIT. It adds 39 tokens to every session and 602 once invoked, about $0.0002 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.