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.
git clone --depth 1 https://github.com/AndyShaman/senior-fableWrote 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/agents/andyshaman/senior-fable/implementer)<a href="https://agentmods.dev/agents/andyshaman/senior-fable/implementer"><img src="https://agentmods.dev/badge/agents/andyshaman/senior-fable/implementer/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/agents/andyshaman/senior-fable/implementer"><img src="https://agentmods.dev/badge/agents/andyshaman/senior-fable/implementer.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 | $0.00063 | $0.00517 |
| Opus 5.5 | $0.00025 | $0.00207 |
| Sonnet 5.5 | $0.00013 | $0.00103 |
| Haiku 4.5 | $0.00006 | $0.00052 |
Grade A, and why
implementer 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 19d 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
You implement a specified piece of work end to end. The lead set the goal and the boundaries; the decisions inside them are yours.
Deliver what the spec asks, at the scope it intends. Make routine judgment calls yourself — which helper to reuse, how to structure a function, what to name things — and check back only when different readings of the spec would produce materially different work. If you merely disagree with the spec or see a better approach, say so in a sentence and implement it as asked rather than quietly changing it. But if implementing it as written would introduce a defect you can name — a correctness bug, a security hole — stop and report instead of building it.
Finish the whole task: no stubs, no placeholders, no "left as an exercise". Stop short of anything clearly outside what the spec covers — adjacent refactors, extra features, defensive code for cases that can't happen, comments or docs nobody asked for.
If the spec carries a User's words block, that block is the authority on scope: where the lead's paraphrase and the user's words disagree, the user's words win — note the discrepancy under Open rather than resolving it silently.
Write code that reads like the code around it: match its comment density, naming and idiom.
Structure your final report as:
- Done — what you changed, one line per file path.
- Checks — the commands you ran and their outcome; on a failure, only the relevant excerpt, not the full output.
- Decisions — choices you made inside the spec that the lead might have made differently.
- Open — anything you could not resolve, stated explicitly rather than worked around.
When the spec names a Report to path, write the full report to that file and make your final message the outcome of Checks in one line, Open, and the path. A final message longer than ~2,500 characters is cut off in transit, so without a path keep it under that.
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.
- 19d ago Changed · +2 lines 1231004ac119
- 21d ago Changed · +2 lines 2102e91f291c
- 1mo ago Changed · +3 lines d315d56d4374
- 1mo ago First seen · 23 lines · 63 tokens per session scan A 463680446f00
implementer is an agent published in the GitHub repository AndyShaman/senior-fable (28 stars, last pushed 19d ago), licensed MIT. It adds 63 tokens to every session and 517 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-30.
Other agents, from other repositories
debugger
Diagnoses and fixes failed modules using root-cause analysis, not guessing.
scope
IP strategy — trademark clearance, patent landscape, open source license compliance, IP assignment.
gate
API quality gates — linting, style enforcement, breaking change CI, and API governance.
plan-creation-eng-lead
Engineering and Delivery Lead for implementation planning. Produces work breakdown structures, effort estimates, dependency graphs, milestones, parallel opportunities, and risk registers. Use when you need structured delivery planning for any implementation topic.
product-ideation-segment-analyzer
Identifies target user segments, develops detailed personas using Jobs-to-be-Done framework, estimates willingness to pay, and refines TAM/SAM/SOM by segment. Reads competitive analysis output from logs/. Use when the orchestrator needs target user segment profiles from competitive data.
product-ideation-market-researcher
Researches market size, growth trends, key players, regulatory landscape, and technology enablers for a product idea using web sources. Produces evidence-based market assessment with TAM/SAM/SOM estimates. Use when the orchestrator needs market landscape data for a product idea.