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 drivestream-lab/prayog-skills --skill prd-impact-mapgit clone --depth 1 https://github.com/drivestream-lab/prayog-skillsWrote 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/drivestream-lab/prayog-skills/prd-impact-map)<a href="https://agentmods.dev/skills/drivestream-lab/prayog-skills/prd-impact-map"><img src="https://agentmods.dev/badge/skills/drivestream-lab/prayog-skills/prd-impact-map/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/drivestream-lab/prayog-skills/prd-impact-map"><img src="https://agentmods.dev/badge/skills/drivestream-lab/prayog-skills/prd-impact-map.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 | $0.00108 | $0.03241 |
| Opus 5 | $0.00054 | $0.01621 |
| Sonnet 5 | $0.00022 | $0.00648 |
| Haiku 4.5 | $0.00011 | $0.00324 |
Grade A, and why
prd-impact-map 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 12d 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 — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PRD impact map
Identify which repos are affected by a PRD and produce an impact map for tech lead confirmation. Do not open spec PRs in app repos — engineering opens those after tech lead confirms the map.
NON-NEGOTIABLE
- Resolve one service catalog under
<client>-meta/config/before reading the PRD. Preferservice-catalog-<org>.yamlwhen org is known (uniquegovernance-<org>.yamlsuffix). Otherwise accept exactly one ofservice-catalog.yamlorservice-catalog-*.yaml. Fail closed on zero or multiple matches. Do not merge catalogs. Never hardcode a tenant org. Understand what each service owns before matching. - Match PRD capabilities to service
descriptionandownsfields semantically — do not rely on keyword matching alone. - Include transitively affected repos via
depends_onchains. If repo B depends on repo A and the PRD touches A, flag B as potentially affected. - Explicitly list repos that are not affected and why — this is as important as the affected list.
- Save the canonical map at
reports_dir/Impact-Map-{INIT-id}.md. A PR comment or label is never the source of truth. Never writeImpact-Map-*-revN.md/*-v2siblings — overwrite the canonical path and bumpmap_revision(seeprayog-skills/references/artifact-write-contract.md). - Increment
map_revisionfor every changed map and record the prior revision plus change reason. Do not edit history to make a revision appear unchanged. If a legacy*-revNsibling exists, migrate into the canonical path and stop writing the sibling (purge siblings only via/purge-initiative-artifacts-metaallowlist — Impact-Map is KEEP). - Mint durable identities H1–H3 per
prayog-skills/references/artifact-write-contract.md: H1source_prd_digest(PRD bytes), H2 onescope_digestper affected repo (canonical payload recipe), H3map_revision. PreferCAP-*/REQ-*in capability lists (legacy free-text orFR-*acceptable until next PRD edit — seeprayog-skills/references/id-conventions.md). A tech-lead approval (G1) is valid only for the exact meta PR head SHA carrying those values. Impact-Map is KEEP through initiative-closure purge; do not treat mid-lane app report digests as map identity. - Treat
impact-map-*labels as projections. If artifact, review, and label disagree, the gate is closed. - A material PRD/map change or tech-lead revocation invalidates approval. Produce a downstream ripple action for every repo already in flight.
- No forge mutations in this skill. Do not create a branch, commit, push,
PR, comment, review request, or label here. Fill
handoff.forgeforopen_draft_prand recommend/open-draft-pr(or orchestrator ForgeClient onprd-pr-action). Seeprayog-skills/references/forge-side-effects.md#content-producers. - Gate labels are a visible workflow projection, not authority. Exactly one
PE gate label may be active:
impact-map-pending,impact-map-lgtm, orimpact-map-blocked.impact-map-revisedandimpact-map-staleare additional invalidation labels and always close the gate.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 266 lines · 108 tokens per session scan A 76d5a5a09a0e
prd-impact-map is a skill published in the GitHub repository drivestream-lab/prayog-skills (2 stars, last pushed 4d ago), licensed MIT. It adds 108 tokens to every session and 3,241 once invoked, about $0.0005 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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