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 agentmods add skills/backloghq/backlog/specnpx skills add backloghq/backlog --skill specgit clone --depth 1 https://github.com/backloghq/backlogWhat 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 | $0.00033 | $0.00307 |
| Opus 5 | $0.00016 | $0.00153 |
| Sonnet 5 | $0.00007 | $0.00061 |
| Haiku 4.5 | $0.00003 | $0.00031 |
Grade A, and why
spec scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Write Task Spec
Write a specification document for a task. If an argument is provided, use it as the task ID or description to find the task. Otherwise, ask which task to spec.
Process
-
Find the task — use
task_listortask_infoto find the task matching "$ARGUMENTS". If $ARGUMENTS is empty, calltask_listwith filterstatus:pending -docto show tasks without specs and ask which one. -
Understand the context — read relevant code, configs, and existing docs in the codebase to understand what the task involves.
-
Write the spec — use
task_doc_writeto attach a markdown document to the task with:- Goal: what this task achieves
- Requirements: specific things that must be built or changed
- Technical approach: key decisions and implementation strategy
- Acceptance criteria: how to verify the task is done
- Relevant code: file paths and functions to modify
-
Confirm — show a summary of the spec that was written and the task it was attached to.
Keep specs concise and actionable — a spec should be something an agent can pick up and implement without further context.
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.
- 2d ago First seen · 26 lines · 33 tokens per session scan A 9dc7f2bee16a
spec is a skill published in the GitHub repository backloghq/backlog (5 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 307 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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