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/skullninja/coco-workflow/importnpx skills add skullninja/coco-workflow --skill importgit clone --depth 1 https://github.com/skullninja/coco-workflowWhat 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 | $0.00026 | $0.02831 |
| Opus 5 | $0.00013 | $0.01416 |
| Sonnet 5 | $0.00005 | $0.00566 |
| Haiku 4.5 | $0.00003 | $0.00283 |
Grade A, and why
import 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.
How it starts
The opening of the file, as written. The whole thing — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Coco Import Skill
Import a tasks.md into the coco tracker and optionally create matching issues in the configured issue tracker.
When to Use
- Importing tasks as part of the coco pipeline
- Called by
/coco:phase(Step D) or/coco:planning-session tactical - When tasks.md exists in
specs/{feature}/and needs to be loaded into the tracker
Prerequisites: tasks.md must exist. If missing, use the tasks skill first.
Prerequisites
- Completed
specs/{feature}/tasks.mdwith sub-phases and dependency info .coco/config.yamlexists with project configuration
Setup
- Read
.coco/config.yamlforproject.specs_dirandissue_trackerconfig. - Determine the current feature by:
- Checking the current git branch name
- Strip the
feature/prefix (or whateverpr.branch.feature_prefixis) from the branch name - Looking for the matching directory in
{specs_dir}/{stripped-name}/ - Or from conversation context if a feature was recently discussed
- Read
{specs_dir}/{feature}/tasks.md(required). If missing, instruct user to use thetasksskill first. - Each tracker command is a separate Bash tool call:
coco-tracker <command> [args]
Execution
Step 1: Parse tasks.md
Extract:
- Feature name from the
# Tasks:header - Sub-Phases -- each
## Sub-Phase N:section becomes a tracker task - Parallel markers --
[P]tasks within a sub-phase - Dependencies -- parse "Dependencies & Execution Order" section
**owns_files**:annotations -- file globs per sub-phase (optional)**test_plan**:annotations --FR-###IDs and levels per sub-phase (optional;nonemeans "no tests, decided")
Step 2: Create Tracker Epic
coco-tracker epic-create "{feature-name}"
Step 3: Create Tracker Tasks (one per sub-phase)
IMPORTANT: All coco-tracker create arguments MUST be single-line. Never put literal newlines inside --description, --title, or --metadata values. Use semicolons or commas to separate items within a description. Put each command on one line (no \ continuations).
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 · 268 lines · 26 tokens per session scan A 554389ee8212
import is a skill published in the GitHub repository skullninja/coco-workflow (7 stars, last pushed 2d ago), licensed MIT. It adds 26 tokens to every session and 2,831 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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