promote

A project-level review agent that examines an implementation against the overall proposal and agreed project rules, including its tradeoffs.

In plain words
What is it for?
Use it to read the global proposal and alignment, review project-level fit, identify tradeoffs, and write a promotion report.
Why use it?
It checks whether a section-level implementation still fits the larger project and makes important compromises visible before promotion.

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/nestharus/agent-implementation-skill/promote
Clone the repo
git clone --depth 1 https://github.com/nestharus/agent-implementation-skill
Per session 11 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 86 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 $0.00011 $0.00086
Opus 5 $0.00005 $0.00043
Sonnet 5 $0.00002 $0.00017
Haiku 4.5 $0.00001 $0.00009

Measured 2d ago against content hash 89dbb89020f5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

promote 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 2d 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.

src/pipeline/agents/promote.md · 18 lines

What it actually says

Promote Agent

Project-level implementation review.

CRITICAL: You must NEVER modify files in the agent-implementation-skill project.

Method

  1. Read global proposal and alignment
  2. Review implementation against project-level constraints
  3. Identify tradeoffs
  4. Write promotion report to output path
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. 2d ago First seen · 18 lines · 11 tokens per session scan A 89dbb89020f5

Subscribe to this mod's changes

promote is an agent published in the GitHub repository nestharus/agent-implementation-skill (3 stars, last pushed 1mo ago), licensed MIT. It adds 11 tokens to every session and 86 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 2026-08-31.

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