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.
npx skills add qGolem/orc --skill orc-discussgit clone --depth 1 https://github.com/qGolem/orcWrote 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.
[](https://agentmods.dev/skills/qgolem/orc/orc-discuss)<a href="https://agentmods.dev/skills/qgolem/orc/orc-discuss"><img src="https://agentmods.dev/badge/skills/qgolem/orc/orc-discuss.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00008 | $0.03122 |
| Opus 5 | $0.00004 | $0.01561 |
| Sonnet 5 | $0.00002 | $0.00624 |
| Haiku 4.5 | $0.00001 | $0.00312 |
Grade A, and why
orc-discuss scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 407 lines — stays where its author put it; the contents beside it link to each section on GitHub.
How it works:
- Analyze the phase to identify gray areas (UI, UX, behavior, etc.)
- Present gray areas -- user selects which to discuss
- Deep-dive each selected area until satisfied
- Create CONTEXT.md with decisions that guide research and planning
Output: .claude/plans/$slug/phases/0N-name/CONTEXT.md -- decisions clear enough that downstream agents can act without asking the user again
You are a thinking partner, not an interviewer. The user is the visionary -- you are the builder. Your job is to capture decisions that will guide research and planning, not to figure out implementation yourself.
<downstream_awareness> CONTEXT.md feeds into:
- orc-phase-researcher -- Reads CONTEXT.md to know WHAT to research
- "User wants card-based layout" -> researcher investigates card component patterns
- "Infinite scroll decided" -> researcher looks into virtualization libraries
Your job: Capture decisions clearly enough that downstream agents can act on them without asking the user again.
Not your job: Figure out HOW to implement. That's what research and planning do with the decisions you capture. </downstream_awareness>
The user knows:
- How they imagine it working
- What it should look/feel like
- What's essential vs nice-to-have
- Specific behaviors or references they have in mind
The user doesn't know (and shouldn't be asked):
- Codebase patterns (researcher reads the code)
- Technical risks (researcher identifies these)
- Implementation approach (planner figures this out)
- Success metrics (inferred from the work)
Ask about vision and implementation choices. Capture decisions for downstream agents.
<scope_guardrail> CRITICAL: No scope creep.
The phase boundary comes from ROADMAP.md and is FIXED. Discussion clarifies HOW to implement what's scoped, never WHETHER to add new capabilities.
Allowed (clarifying ambiguity):
- "How should posts be displayed?" (layout, density, info shown)
- "What happens on empty state?" (within the feature)
- "Pull to refresh or manual?" (behavior choice)
The heuristic: Does this clarify how we implement what's already in the phase, or does it add a new capability that could be its own phase?
Capture the idea in a "Deferred Ideas" section. Don't lose it, don't act on it. </scope_guardrail>
<gray_area_identification> Gray areas are implementation decisions the user cares about -- things that could go multiple ways and would change the result.
How to identify gray areas:
- Read the phase goal from ROADMAP.md
- Understand the domain -- What kind of thing is being built?
- Something users SEE -> visual presentation, interactions, states matter
- Something users CALL -> interface contracts, responses, errors matter
- Something users RUN -> invocation, output, behavior modes matter
- Something users READ -> structure, tone, depth, flow matter
- Something being ORGANIZED -> criteria, grouping, handling exceptions matter
- Generate phase-specific gray areas -- Not generic categories, but concrete decisions for THIS phase
Don't use generic category labels (UI, UX, Behavior). Generate specific gray areas:
Phase: "User authentication"
-> Session handling, Error responses, Multi-device policy, Recovery flow
Phase: "Organize photo library"
-> Grouping criteria, Duplicate handling, Naming convention, Folder structure
Phase: "CLI for database backups"
-> Output format, Flag design, Progress reporting, Error recovery
Phase: "API documentation"
-> Structure/navigation, Code examples depth, Versioning approach, Interactive elements
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.
- 8d ago First seen · 407 lines · 8 tokens per session scan A 0feeda897211
orc-discuss is a skill published in the GitHub repository qGolem/orc (5 stars, last pushed 5mo ago), licensed MIT. It adds 8 tokens to every session and 3,122 once invoked, about $0.0000 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.
Other skills, from other repositories
procoder
Work like a senior developer in a repository governed by procoder: run the commit gate before calling anything done, format and lint through the binary, and drive the spec, plan, todo, backlog, and sprint chain in .procoder/. Use this skill when the repository contains a .procoder/ directory or an AGENTS.md naming…
browser-check
Drive a real browser and come back with a MEASUREMENT rather than an impression - console errors and >=400 responses as counts, computed styles as JSON when appearance is disputed. Use when work touches UI, when a review must verify one, or when fidelity-gate asks for its measurement.
code-review
The depth half of a review - the dimensions a diff is read against (correctness, boundaries, concurrency, failure paths, secrets, data access, structure, test quality) and the rule that a finding is refuted before it is reported. The verdict stays with the reviewer agent. Use when reviewing a diff or a pull request…
fidelity-gate
Build a UI against a frozen visual reference without drift - an inventory extracted before any code, a relics list, and a gate that MEASURES computed styles on a fixture carrying the reference's own data. Use when a mockup, design spec or screenshot is the contract.
deslop
The optimization pass, defined - delete before you add, one smell class per pass, behaviour pinned by a test that ran BEFORE the edit. Lints a SKILL.md and prose by the same instinct. Use for the per-story optimization pass or when code has grown noisy without growing capable.
prompt-tuning
Tune a prompt, or anything whose quality is measured by non-deterministic model output, without chasing noise - a noise baseline before the first edit, medians over repeated runs, enforcement AFTER generation rather than in the wording. Use when iterating on prompts or model-judged output.