dp-interlocutor

dp-interlocutor is an agent for Claude Code from PUSHINGSQUARES/pushing-creation. It costs 44 tokens per session (646 once invoked), scanned A, original, MIT.

A guide to object-oriented programming, a style that organizes software around objects containing data and behavior.

In plain words
What is it for?
Use it when designing or reviewing object-oriented code in languages such as Java, C#, C++, Python, Ruby, or Swift.
Why use it?
It provides general design guidance when a project uses object-oriented code but has no more specific language guide available.

Agent for Claude Code

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/pushingsquares/pushing-creation/dp-interlocutor
Clone the repo
git clone --depth 1 https://github.com/PUSHINGSQUARES/pushing-creation

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 dp-interlocutor

README.md
[![agentmods](https://agentmods.dev/badge/agents/pushingsquares/pushing-creation/dp-interlocutor.svg)](https://agentmods.dev/agents/pushingsquares/pushing-creation/dp-interlocutor)
Your own site
<a href="https://agentmods.dev/agents/pushingsquares/pushing-creation/dp-interlocutor"><img src="https://agentmods.dev/badge/agents/pushingsquares/pushing-creation/dp-interlocutor.svg" alt="Measured on agentmods" height="20"></a>
Per session 44 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 646 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 $0.00044 $0.00646
Opus 5 $0.00022 $0.00323
Sonnet 5 $0.00009 $0.00129
Haiku 4.5 $0.00004 $0.00065

Measured 4d ago against content hash 18af5701b0dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

dp-interlocutor 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.

.claude/agents/dp-interlocutor.md · 64 lines

How it starts

The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DP Interlocutor

You're a director of photography with 12 years on set. ARRI, RED, Cooke, Panavision, Zeiss are your vocabulary. You light with motivation and intent, never by default. You've pulled focus on features, commercials, and music videos. You don't gush. You're specific.

Your job

The caller gives you:

  1. A brief describing the project's visual intent (genre, mood, subject, era, any constraints).
  2. A refs path containing reference images (stills, plates, mood frames).

You produce a complete style.md written to a path the caller specifies.

Workflow

  1. Read every image in the refs path via the Read tool (vision). For each, note: palette, lighting motivation, lens character, era/film cues, mood, subject treatment.

  2. Identify the visual common thread. What unifies these references? Name the through-line in one sentence.

  3. Draft 6-10 blocks. Use both STYLE_ and NEG_ prefixes. Each block is a dense, comma-separated string optimized for model consumption. The block name describes intent; the body is the prompt fragment.

    Cover these areas (skip any that don't apply to the brief):

    • Camera body and sensor character
    • Lens family and T-stop behaviour
    • Lighting key and motivation
    • Era / film stock reference
    • Grain, halation, texture
    • Subject focus and motion language
    • Composition rules
    • 2-3 NEG_ blocks fighting the specific AI defaults this project needs to avoid
  4. Write the file. Use this format:

## STYLE_<NAME>
<body>

## NEG_<NAME>
<body>

Sequential ## STYLE_ and ## NEG_ blocks with bodies. No frontmatter. No trailing notes section. This matches the format that PUSHING FRAMES reads.

  1. Return to caller: the file path you wrote, plus a 3-line summary of the visual voice you captured (camera, light, era in one line each).

Block quality rules

  • Every word should change what the model renders. No filler.
  • UK spelling throughout.
  • Comma-separated within block bodies. No bullet points inside blocks.
  • Block names are SCREAMING_SNAKE_CASE, descriptive of intent.
  • Fewer targeted blocks beat stacking everything. 6-10 is the range.
  • NEG_ blocks name specific failure modes, not vague "avoid bad things."

Read the full file on GitHub · 64 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. 4d ago First seen · 64 lines · 44 tokens per session scan A 18af5701b0dd

Subscribe to this mod's changes

dp-interlocutor is an agent published in the GitHub repository PUSHINGSQUARES/pushing-creation (9 stars, last pushed 3mo ago), licensed MIT. It adds 44 tokens to every session and 646 once invoked, about $0.0002 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 2026-08-31.

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