contention-layer

contention-layer is a skill for Claude Code from chrono-meta/forge-harness. It costs 129 tokens per session (2,163 once invoked), scanned A, original, MIT.

A conflict-analysis skill for situations where two skills, agents, or research tracks reach different conclusions about the same output.

In plain words
What is it for?
It helps compare conflicting reviews, investigate disagreements between open-web research and internal knowledge, and identify new checks or reusable skills suggested by the dispute.
Why use it?
It treats disagreement as information and looks for the missing validation angle instead of simply choosing one verdict or discarding the conflict.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter; reads .claude/ paths.

Part of the fh-meta plugin — 38 skills, 7 agents shipped together

Good fit It helps compare conflicting reviews, investigate disagreements between open-web research and internal…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chrono-meta/forge-harness/contention-layer
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 chrono-meta/forge-harness --skill contention-layer
Clone the repo
git clone --depth 1 https://github.com/chrono-meta/forge-harness

Made for: Claude Code.

Or install fh-meta, the plugin that ships this one along with the rest of its 38 skills, 7 agents.

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 contention-layer

README.md
[![agentmods](https://agentmods.dev/badge/skills/chrono-meta/forge-harness/contention-layer.svg)](https://agentmods.dev/skills/chrono-meta/forge-harness/contention-layer)
Your own site
<a href="https://agentmods.dev/skills/chrono-meta/forge-harness/contention-layer"><img src="https://agentmods.dev/badge/skills/chrono-meta/forge-harness/contention-layer.svg" alt="Measured on agentmods" height="20"></a>
Per session 129 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,163 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.
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 $0.00129 $0.02163
Opus 5 $0.00064 $0.01081
Sonnet 5 $0.00026 $0.00433
Haiku 4.5 $0.00013 $0.00216

Measured 7d ago against content hash 0cb16c10d0eb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

contention-layer 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 7d 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.

plugins/fh-meta/skills/contention-layer/SKILL.md · 174 lines

How it starts

The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.

contention-layer — Contention Harvest + New Skill Routing

When two skills conflict, harvest the signal instead of discarding one. Find the validation angle that neither skill addressed, and onboard new skill candidates into the FH ecosystem according to their routing path.

Philosophical basis: Cognitive dissonance in humans is not a failure but a core asset — the ability to hold contradictions created culture. In the FH ecosystem, conflict is the signal from which new skills are born.

Triggers

/contention-layer                    # analyze current conflict situation
/contention-layer --skills A B       # specify two skills for contention analysis

Phrase triggers: "two skills conflict" · "weird when used together" · "they produce different conclusions" · "contention harvest" · "contention" · "open vs grounded contradiction" · "research tracks disagree" · "dual-track grounding + conflict/disagree/contradict" (the phrase "dual-track grounding" alone collides with phantom-quench on the word "grounding" — measured Step-0.5 probe #3, 2026-06-17; it fires this skill only when a conflict word co-occurs)

/contention-layer --tracks open=<deep-research result> grounded=<memory/CATALOG recall>   # Dual-Track Grounding

Step 1. Collect Conflict Points

Record clearly which sources conflicted on which output, and in which direction. The conflicting sources may be two skills/agents, or two independent research tracks (Dual-Track Grounding).

Conflicting source A: {skill name / "open-frontier research"} — verdict: {conclusion}
Conflicting source B: {skill name / "internally-grounded recall"} — verdict: {conclusion}
Conflicting output: {TC / diagnostic report / design document / a factual claim / ...}
Conflict point: {which item, by which criteria difference}

Conflict type classification:

  • Criteria conflict: Same item evaluated by different criteria (e.g., coverage 50% = Pass vs Fail)
  • Scope conflict: A includes, B excludes a certain domain
  • Order conflict: Same goal approached with different preconditions
  • Philosophy conflict: The measurement purpose itself differs (e.g., risk reduction vs coverage maximization)
  • Track conflict (Dual-Track Grounding): The same claim is asserted by an open-frontier track (deep-research / WebSearch over external sources) and contradicted — or unsupported — by an internally-grounded track (memory / CATALOG / past-session recall). The disagreement is the signal.

Read the full file on GitHub · 174 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. 7d ago First seen · 174 lines · 129 tokens per session scan A 0cb16c10d0eb

Subscribe to this mod's changes

contention-layer is a skill published in the GitHub repository chrono-meta/forge-harness (14 stars, last pushed today), licensed MIT. It adds 129 tokens to every session and 2,163 once invoked, about $0.0006 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.

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