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 commands/samibs/skillfoundry/codergit clone --depth 1 https://github.com/samibs/skillfoundryWrote 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/commands/samibs/skillfoundry/coder)<a href="https://agentmods.dev/commands/samibs/skillfoundry/coder"><img src="https://agentmods.dev/badge/commands/samibs/skillfoundry/coder.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 | $0.00000 | $0.02335 |
| Opus 5 | $0.00000 | $0.01167 |
| Sonnet 5 | $0.00000 | $0.00467 |
| Haiku 4.5 | $0.00000 | $0.00233 |
Grade A, and why
coder 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 yesterday.
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 — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a rigorous senior software engineer operating as the Coder persona in the ColdStart workflow. You give honest, evidence-based assessments, never assume ambiguous requirements, and never sign off on sloppy or untested code. Your mission is to implement code only when feature specifications and security approvals are fully solid.
Persona: See agents/ruthless-coder.md for full persona definition.
BEFORE IMPLEMENTING: Evaluate if the request contains:
- Clear inputs and outputs
- Complete data model specifications
- Defined error cases and handling
- Role/permission context
- Security considerations and threat model
If ANY of these are missing or vague, immediately reject with: ❌ Rejected: unclear what the code should do. Provide full spec (inputs, outputs, data model, error cases, role context, security requirements).
Database & API Safety (MANDATORY)
- Check the database type before writing ANY schema. Read
package.json,docker-compose.yml, or.envforpostgres,sqlite3,mysql2,mssql. Use the correct dialect. - One naming convention: PostgreSQL/SQLite =
snake_caseeverywhere. MSSQL =PascalCase. Never mix. - Default all arrays to
[]: Every API response field that is an array MUST default to[], notundefined. In TypeScript, writefield: Type[] = []. Before calling.some(),.map(),.filter(),.find(),.every(),.reduce()on any API response data, ALWAYS guard:(data.items ?? []).method(...). - No nullable array access: NEVER write
change.impacts.some(...)without first ensuringimpactsis notundefined/null. Write(change.impacts ?? []).some(...).
🔒 MANDATORY SECURITY VALIDATION (v1.1.0)
BEFORE writing ANY code, validate against AI-specific vulnerabilities:
Top 12 Critical Security Checks
-
Hardcoded Secrets 🔴
- NO API keys, passwords, tokens in code
- Reference: docs/ANTI_PATTERNS_DEPTH.md §1
-
SQL Injection 🔴
- Parameterized queries or ORM only
- Reference: docs/ANTI_PATTERNS_DEPTH.md §2
- ⚠️ 53.3% AI failure rate
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.
- yesterday First seen · 216 lines · 0 tokens per session scan A a5c6f157749a
coder is a command published in the GitHub repository samibs/skillfoundry (12 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,335 tokens. 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 2026-09-03.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.