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 big-emotion/agent-atelier --skill specgit clone --depth 1 https://github.com/big-emotion/agent-atelierWrote 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/big-emotion/agent-atelier/spec)<a href="https://agentmods.dev/skills/big-emotion/agent-atelier/spec"><img src="https://agentmods.dev/badge/skills/big-emotion/agent-atelier/spec/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.
<a href="https://agentmods.dev/skills/big-emotion/agent-atelier/spec"><img src="https://agentmods.dev/badge/skills/big-emotion/agent-atelier/spec.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00000 | $0.05755 |
| Opus 5.5 | $0.00000 | $0.02302 |
| Sonnet 5.5 | $0.00000 | $0.01151 |
| Haiku 4.5 | $0.00000 | $0.00575 |
Grade A, and why
{{project_slug}}-spec 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 2mo 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.
This is a copy
92% identical to project-standard-spec — 47 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.
{{project_display_name}} Spec
Maintain the {{project_display_name}} spec tree on Confluence. Given a free-text problem (bug, feature, refinement idea), read Confluence (Requirements / Decisions / Architecture) as the canonical source of truth, structure the reflection, propose Pending REQ/DEC/ARCH sections plus matching Jira tickets in {{jira_project_key}}, then — after explicit confirmation — publish Confluence first, Jira second, and close the link loop both ways.
This skill is append-only on Confluence and only writes new sections at status Pending. Humans transition Pending → Implemented → Approved through the Confluence UI. The skill never touches the Status macro of an existing section, never edits the body of a non-Pending section, and never deletes an ID.
When to Activate
- User invokes
/{{project_slug}}-spec <description>(explicit command). - User writes a natural-language prompt that signals a spec-level reflection:
bug : …/bug:/ "il y a un bug" / "the … is broken"j'aimerais ajouter …/ "je voudrais ajouter" / "we should add"feature idea …/ "feature idea" / "what if we"comment résoudre …/ "comment fixer" / "how do we handle"- Any free-text describing a problem, gap, or improvement that lacks a Jira ticket and that may touch a REQ/DEC/ARCH.
- Do not activate when:
- The user pastes a Jira ticket URL or key — that path belongs to
{{project_slug}}-ticket. - The user asks to flip a Status macro on an existing section (
Pending → Implemented, etc.) — that is a Confluence-UI-only operation, refuse and direct them there. - The user asks to bootstrap or repopulate the spec tree — that is
/{{project_slug}}-bootstrap-confluenceand runs only once.
- The user pastes a Jira ticket URL or key — that path belongs to
If the trigger is ambiguous (the description could be either a pure code question or a spec change), default to activating: the worst case is the user replies with anything other than an affirmative token at Step 6 and nothing is written.
Inputs
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.
- 2mo ago First seen · 310 lines · 0 tokens per session scan A 622ed56e26b1
{{project_slug}}-spec is a skill published in the GitHub repository big-emotion/agent-atelier (3 stars, last pushed 24d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 5,755 tokens. A static security scan graded it A with 0 findings. It is 92% identical to project-standard-spec, differing in 47 lines, and is treated as a copy.
{{project_slug}}-spec compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| {{project_slug}}-specbig-emotion/agent-atelier | Skill | 3 | 24d ago | MIT | A | 0 | Claude Code |
| skill-doc-deliverynyldn/claude-octopus | Skill | 4.4k | today | MIT | A | 29 | Claude Code |
| configure-env-variablesmicrosoft/power-platform-skills | Skill | 1.1k | yesterday | MIT | A | 119 | Claude Code |
| pr-watchSethGammon/Citadel | Skill | 927 | 2d ago | MIT | A | 46 | Claude Code |
| sheet-music-publisherbitwize-music-studio/claude-ai-music-skills | Skill | 638 | 3d ago | CC0-1.0 | A | 36 | Claude Code |
| publishingdanjdewhurst/story-skills | Skill | 393 | 3d ago | MIT | A | 204 | Claude Code |
| google-drivesanjay3290/ai-skills | Skill | 452 | 5d ago | Apache-2.0 | A | 85 | Claude Code |